Artificial intelligence (AI) Books
Oxford University Press The AI Delusion
Book SynopsisWe live in an incredible period in history. The Computer Revolution may be even more life-changing than the Industrial Revolution. We can do things with computers that could never be done before, and computers can do things for us that could never be done before.But our love of computers should not cloud our thinking about their limitations.We are told that computers are smarter than humans and that data mining can identify previously unknown truths, or make discoveries that will revolutionize our lives. Our lives may well be changed, but not necessarily for the better. Computers are very good at discovering patterns, but are useless in judging whether the unearthed patterns are sensible because computers do not think the way humans think.We fear that super-intelligent machines will decide to protect themselves by enslaving or eliminating humans. But the real danger is not that computers are smarter than us, but that we think computers are smarter than us and, so, trust computers to maTrade ReviewAI is eating the world! Or is it? Read the AI Delusion to find out. Gary Smith provides us with a rich tapestry of stories, studies, and science to elucidate this topic in a fun and accessible fashion. Learning about AI, data, and science has never been more enjoyable! * Oren Etzioni, CEO of the Allen Institute for Artificial Intelligence, and Professor of Computer Science at the University of Washington *Gary Smith demolishes the hype, the exaggerations, and the unrealistic expectations that have surrounded artificial intelligence and data mining. Combining vivid narratives with insightful analysis, the book is both highly informative and enormously entertaining. * Ernest Davis, Professor of Computer Science, New York University *You won't need a degree in linear algebra or multivariate calculus to understand The AI Delusion — a no-nonsense look at the limitations of Big Data. * Andrew Sloves, Former Managing Director at JP Morgan *This refreshing, amusing and frank book dispels many myths about the nature of AI when compared with human intelligence, with a stimulating range of examples. * David Lorimer, Paradigm Explorer *A remarkable book: deeply thoughtful but highly readable, full of practical examples to illustrate Smith's powerful computational critique of the proliferation of AI, big data, and machine learning in our daily lives. Truly essential reading. * Frank Pasquale, author The Black Box Society *Professor Gary Smith demonstrates why artificial intelligence doesn't live up to the hype. He uses a wide variety of real-world examples to illustrate the risks of taking humans out of the decision-making process. * Karl J. Meyer, Partner at Kleiner Perkins Caufield & Byers *Big data is increasingly being used to make big decisions, and that's a good thing, as long as we keep aware of how things can go wrong, as Gary Smith explains in this fun new book. * Andrew Gelman, Director of the Applied Statistics Center at Columbia University *Data professionals and consumers can benefit from Smith's entertaining and accessible demonstration that more computing power and more data do not imply more intelligence. We need to have more confidence in our human intellect. Humans may have common sense and an appreciation of context. Computers uniformly have none. * Eric Engberg, Data Scientist and Software Engineer, Wells Fargo *Prof Smith delivers a strong defense of the scientific method - theory before data - and clearly demonstrates the limitations of 'AI' and 'Big Data'. * Chris Nelson, CFO Universal Studios Hollywood *Smith's book goes a long way towards dispelling the BS about AI. * Roger Schank, Professor Emeritus, Northwestern University *Remarkable ... This book so deserves to be widely read. * Jonathan Cowie, Concatenation *Table of Contents1: Intelligent or Obedient? 2: Doing Without Thinking 3: Symbols Without Context 4: Bad Data 5: Patterns in Randomness 6: If You Torture the Data Long Enough 7: The Kitchen Sink 8: Old Wine in New Bottles 9: Take Two Aspirin 10: Beat the Market I 11: Beat the Market II 12: We're Watching You
£20.69
Oxford University Press Robots
Book SynopsisA concise, accessible introduction to robots, what they can do, what they can''t, and what their increasing encroachment into our lives might mean for us Since the turn of the millennium a quiet revolution has been underway. Millions of autonomous robots with some level of intelligence are now in domestic use, mainly as vacuum cleaners. Driverless cars - which are nothing less than autonomous robots - are starting to appear on our streets. There is a huge effort underway in industry and universities to develop the next generation of more intelligent, autonomous, mobile robots. Accompanying these arrivals has been a steady stream of inflammatory articles in the media raising concerns over the impending spectre of super-intelligent robots, along with stories about how most jobs will soon be lost to robots.Here, using the Question-and-Answer format, Phil Husbands gives a balanced and broad introduction to robotics and the current state of the field, analysing where it has come from, and wTrade ReviewThe book is accessible, and readers can expect to learn much from it. Husbands has given us a historically informed introduction to robotics, rooted in technological reality and dismissing futuristic hype. * Simon Balle, Metascience *the book is accessible, and readers can expect to learn much from it. Husbands has given us a historically informed introduction to robotics, rooted in technological reality and dismissing futuristic hype. * Simon Balle, Metascience *Table of ContentsPreface 1: Robots are Here 2: The Basics 3: Some History 4: Inside the Machine 5: Robot Fantasies: Robots in Popular Culture 6: Intelligence, Super-Intelligence and Cyborgs 7: Robots at Work 8: Robot Ethics 9: Robot Futures
£11.69
Dorling Kindersley Ltd Simply AI
Book Synopsis
£11.69
Elsevier Science Computational Intelligence Applications for Text
Book SynopsisTable of Contents1. Introduction to Text and Sentiment Data Analysis 2. Natural Language Processing and Sentiment Analysis: Perspectives from Computational Intelligence 3. Applications and Challenges of Sentiment Analysis in Real Life Scenarios 4. Emotions Recognition of Students from Online and Offline Texts 5. Online Social Network Sensing Models 6. Identifying Sentiments of Hate Speech using Deep Learning 7. An Annotation System to Summarize Medical Corpus using Sentiment based Models 8. Deep learning-based Dataset Recommendation System by employing Emotions 9. Hybrid Deep Learning Architecture Performance on Large English Sentiment Text Data: Merits and Challenges 10. Human-centered Sentiment Analysis 11. An Interactive Tutoring System for Older Adults - Learning with New Apps 12. Irony and Sarcasm Detection 13. Concluding Remarks
£103.50
Academic Press Digital Twin for Healthcare
Book SynopsisTable of Contents1. Introduction to Digital Twin 2. Under-Actuated Digital Twin’s Robotic Hands with Tactile Sensing Capabilities for Well-being 3. Digital Twin for Healthcare Immersive Services 4. Challenges of Digital Twin in Healthcare 5. Architecture Reference Models of Digital Twins for Healthcare 6. Artificial Intelligence Models in Digital Twins for Health and Well-being 7. COVIDMe: A Digital Twin for COVID-19 self-assessment and detection 8. Improve Human Living Environment and Human Health by Environmental Digital Twins Technology 9. Role of smart technologies in detecting cognitive impairment and enhancing assisted living 10. Digital Twins and Cybersecurity in Healthcare systems 11. Potential applications of Digital Twin in Medical care 12. Digital Twin in Prognostics and Health Management System 13. Digital Twin for Cardiology 14. Applications of digital twins to migraine disease 15. Digital Twins for Nutrition 16. Digital Twins for Allergies
£110.70
Elsevier Science Blockchain Technology Solutions for the Security
Book SynopsisTable of Contents1. IoT: Fundamentals and challenges 2. Security issues of IoT 3. IoT-based Healthcare Systems 4. Emerging e-Health IoT Applications 5. Blockchain: Concept and Emergence 6. Application of Blockchain for security 7. Role of Blockchain in IoT based healthcare systems 8. Decentralized management of healthcare IoT devices 9. Blockchain based insurance and healthcare 10. Blockchain adoption strategies
£103.50
Taylor & Francis Ltd Artificial Intelligence and Music Ecosystem
Book SynopsisArtificial Intelligence and Music Ecosystem highlights the opportunities and rewards associated with the application of AI in the creative arts. Featuring an array of voices, including interviews with Jacques Attali, Holly Herndon and Scott Cohen, this book offers interdisciplinary approaches to pressing ethical and technical questions associated with AI. Considering the perspectives of developers, students and artists, as well as the wider themes of law, ethics and philosophy, Artificial Intelligence and Music Ecosystem is an essential introduction for anyone interested in the impact of AI on music, including those studying and working in the creative arts.Table of ContentsList of contributorsAcknowledgementsIntroductionChapter 1 The Future – Interview with Jacques AttaliChapter 2 AI music – On the Meaning of Music: Music is a language without a dictionary – David CopeChapter 3 The Developer – What do music software developers do? – Miller PucketteChapter 4 The Student – Shortcuts Guide To Music Theory – Artur Osipov Chapter 5 The Artist – Interview with Holly HerndonChapter 6 Robotics – Fast and Curious: A CNN for Ethical Deep Learning Musical Generation – Richard Savery & Gil WeinbergChapter 7 Extended Reality – Music in Immersive XR Environments:The Possibilities (and Approaches) for (AI) – Gareth W. Young & Aljosa SmolicChapter 8 Data – A Quantified Quickening: Data, AI and the Consumption and Composition of Music – Jennifer EdmondChapter 9 Law– You Can Call Me Hal: AI & Music IP – Martin ClancyChapter 10 Ethics – Whose Ethics? Approaches to a Equitable and Sustainable Music Ecosystem – Martin ClancyChapter 11 Global Ethics – From Philosophy to Practice A Culturally Informed Ethics of Music AI in Asia – Rujing Stacy Huang, Andre Holzapfel & Bob L. T. SturmChapter 12 Start-ups – AI: Why I Care – Mick KielyChapter 13 Music Industry – Interview with Scott CohenChapter 14 Philosophy – Amor Fati: A Theoretical Model of the Music Ecosystem – Martin ClancyIndex
£999.99
Taylor & Francis Ltd AI for Games
Book SynopsisWhat is artificial intelligence? How is artificial intelligence used in game development?Game development lives in its own technical world. It has its own idioms, skills, and challenges. Thatâs one of the reasons games are so much fun to work on. Each game has its own rules, its own aesthetic, and its own trade-offs, and the hardware it will run on keeps changing. AI for Games is designed to help you understand one element of game development: artificial intelligence (AI).Table of ContentsAuthor. Introduction. 1 What Is AI? 2 Model of Game AI. 3 Algorithms and Data Structures. 4 Game AI. 5 Techniques. 6 Supporting Technologies. Index.
£22.99
Taylor & Francis Ltd Advanced Smart Computing Technologies in
Book SynopsisThis book addresses the topics related to artificial intelligence, the Internet of Things, blockchain technology, and machine learning. It brings together researchers, developers, practitioners, and users interested in cybersecurity and forensics. The first objective is to learn and understand the need for and impact of advanced cybersecurity and forensics and its implementation with multiple smart computational technologies. This objective answers why and how cybersecurity and forensics have evolved as one of the most promising and widely-accepted technologies globally and has widely-accepted applications. The second objective is to learn how to use advanced cybersecurity and forensics practices to answer computational problems where confidentiality, integrity, and availability are essential aspects to handle and answer. This book is structured in such a way so that the field of study is relevant to each readerâs major or interests. It aims to help each reader see the relevance of cybersecurity and forensics to their career or interests. This book intends to encourage researchers to develop novel theories to enrich their scholarly knowledge to achieve sustainable development and foster sustainability. Readers will gain valuable knowledge and insights about smart computing technologies using this exciting book.This book:â Includes detailed applications of cybersecurity and forensics for real-life problemsâ Addresses the challenges and solutions related to implementing cybersecurity in multiple domains of smart computational technologies â Includes the latest trends and areas of research in cybersecurity and forensicsâ Offers both quantitative and qualitative assessments of the topics Includes case studies that will be helpful for the researchersProf. Keshav Kaushik is Assistant Professor in the Department of Systemics, School of Computer Science at the University of Petroleum and Energy Studies, Dehradun, India.Dr. Shubham Tayal is Assistant Professor at SR University, Warangal, India.Dr. Akashdeep Bhardwaj is Professor (Cyber Security & Digital Forensics) at the University of Petroleum & Energy Studies (UPES), Dehradun, India.Dr. Manoj Kumar is Assistant Professor (SG) (SoCS) at the University of Petroleum and Energy Studies, Dehradun, India.Table of Contents1. Detection of Cross-Site Scripting and Phishing Website Vulnerabilities Using Machine Learning. 2. A Review: Security and Privacy Defensive Techniques for Cyber Security Using Deep Neural Networks (DNNs). 3. DNA-Based Cryptosystem for Connected Objects and IoT Security. 4. A Role of Digital Evidence: Mobile Forensics Data. 5. Analysis of Kernel Vulnerabilities Using Machine Learning. 6. Cyber Threat Exploitation and Growth during COVID-19 Times. 7. An Overview of the Cybersecurity in Smart Cities in the Modern Digital Age. 8. The Fundamentals and Potential for Cyber Security of Machine Learning in the Modern World. 9. Qualitative and Quantitative Evaluation of Encryption Algorithms. 10. Analysis and Investigation of Advanced Malware Forensics. 11. Network Intrusion Detection System Using Naïve Bayes Classification Technique for Anomaly Detection. 12. Data Security Analysis in Mobile Cloud Computing for Cyber Security. 13. A Comprehensive Review of Investigations of Suspects of Cyber Crimes. 14. Fault Analysis Techniques in Lightweight Ciphers for IoT Devices.
£87.39
CRC Press Smart Agriculture
Book SynopsisThis book endeavours to highlight the untapped potential of Smart Agriculture for the innovation and expansion of the agriculture sector. The sector shall make incremental progress as it learns from associations between data over time through Artificial Intelligence, deep learning and Internet of Things applications. The farming industry and Smart agriculture develop from the stringent limits imposed by a farm's location, which in turn has a series of related effects with respect to supply chain management, food availability, biodiversity, farmers' decision-making and insurance, and environmental concerns among others. All of the above-mentioned aspects will derive substantial benefits from the implementation of a data-driven approach under the condition that the systems, tools and techniques to be used have been designed to handle the volume and variety of the data to be gathered. Contributions to this book have been solicited with the goal of uncovering the possibilities of engaging Table of ContentsMachine learning and deep learning in agriculture, Descriptive and predictive analytics of agricultural data using machine learning algorithms, Discrimination between weed and crop via image analysis using machine learning algorithm, Bio-inspired optimization algorithms for machine learning in agriculture applications, Agricultural modernization with forecasting stages and machine learning, Classification of segmented image using increased global contrast for Paddy plant disease, IOT in agriculture: Survey on technology, challenges and future scope, Role of IoT in sustainable farming, Smart farming: Crop models and decision support systems using IOT, Smart irrigation in farming using internet of things, Automation systems in agriculture via IOT, A complete automated solution for farm field and garden nurture using internet of things, Machine intelligence techniques for agricultural production: Case study with tomato leaf disease detection, Clock signal and its attribute for agriculture.
£43.69
CRC Press HumanRobot Interaction
Book SynopsisHuman-Robot Interaction: Safety, Standardization, and Benchmarking provides a comprehensive introduction to the new scenarios emerging where humans and robots interact in various environments and applications on a daily basis. The focus is on the current status and foreseeable implications of robot safety, approaching these issues from the standardization and benchmarking perspectives. Featuring contributions from leading experts, the book presents state-of-the-art research, and includes real-world applications and use cases. It explores the key leading sectorsârobotics, service robotics, and medical roboticsâand elaborates on the safety approaches that are being developed for effective human-robot interaction, including physical robot-human contacts, collaboration in task execution, workspace sharing, human-aware motion planning, and exploring the landscape of relevant standards and guidelines.Features Presenting aTable of Contents 1 The Role of Standardization in Technical Regulations André Pirlet 2 The intricate relationships between private standards and publicpolicymakingin the case of personal care robot. Who cares more? Eduard Fosch-Villaronga and Angelo Jr Golia 3 Standard Ontologies and HRI Sandro Rama Fiorini, Abdelghani Chibani, Tamas Haidegger, Joel Luis Carbonera, Craig Schlenoff, Jacek Malec, Edson Prestes, Paulo Gonçalves, S. Veera Ragavan, Howard Li, Hirenkumar Nakawala, Stephen Balakirsky, Sofiane Bouznad, Noauel Ayari, and Yacine Amirat 4 Robot Modularity and safety for Service Robots Hong Seong Park and Gurvinder Singh Virk 5 Human-robot shared workspace in aerospace factories Gilber Tang 6 Workspace sharing in mobile manipulation José Saenz 7 On rehabilitation robotics safety, benchmarking, standards Jan F. Veneman 8 A practical appraisal of ISO 13482 as a reference for an orphan robot category Paolo Barattini 9 Safety of Medical Robots, Regulation and Standards Kiyo Chinzei 10 The Other End of Human–Robot Interaction: Models for Safe and Efficient Tool–Tissue Interactions Arpad Takacs, Imre J. Rudas, Tamas Haidegger 11 Passive Bilateral Teleoperation with Safety Considerations Lorinc Marton 12 Human-Robot Interfaces in Autonomous Surgical Robots Paolo Fiorini and Riccardo Muradore
£42.74
CRC Press Watershed Management and Applications of AI
Book SynopsisLand use and water resources are two major environmental issues which necessitate conservation, management, and maintenance practices through the use of various engineering techniques. Water scientists and environmental engineers must address the various aspects of flood control, soil conservation, rainfall-runoff processes, and groundwater hydrology. Watershed Management and Applications of AI provides the necessary principles of hydrology to provide practical strategies useful for the planning, design, and management of watersheds. The book also synthesizes novel new approaches, such as hydrological applications of machine learning using neural networks to predict runoff and using artificial intelligence for the prediction of groundwater fluctuations.Features: Presents hydrologic analysis and design along with soil conservation practices through proper watershed management techniques Provides analysis of land erosion and sedimenTable of ContentsIntroduction to Watershed Management. Characteristics of Watershed. Soil Erosion and Its Control. Water Harvesting. Water Quality Management in Watershed. Groundwater. Flood and Drought. Sediment Sampling and Transport. Runoff. Application of Artificial Intelligence for Prediction of Ground Water Fluctuation. Prediction of Flood Using Hybrid ANFIS-FFA Approaches in Barak River Basin. Prophecy of Sediment Load Using Hybrid AI Approaches at Various Gauge Station in Mahanadi River Basin, India. Scheming of Runoff Using Hybrid ANFIS for a Watershed: Western Odisha, India. Application of Hybrid Neural Network Techniques for Drought Forecasting.
£80.74
John Wiley & Sons Inc An Introduction to MultiAgent Systems
Book SynopsisThe eagerly anticipated updated resource on one of the most important areas of research and development: multi-agent systems Multi-agent systems allow many intelligent agents to interact with each other, and this field of study has advanced at a rapid pace since the publication of the first edition of this book, which was nearly a decade ago.Trade Review“Nevertheless, despite these minor issues, this book is highly recommended to all socio-economic agent-based modellers, beginners or otherwise. Wooldridge’s scope, rigor, and well-respected experience at the current coalface means there’s plenty in here of interest for old-timers, while beginners can skip some of the maths and more bleeding-edge theory and concentrate easily on the implementation without loosing much.” (Appl. Spatial Analysis, 2011) Table of ContentsPreface xiii Acknowledgements xxi Part I Setting the Scene 1 1 Introduction 3 1.1 The Vision Thing 6 1.2 Some Views of the Field 9 1.2.1 Agents as a paradigm for software engineering 9 1.2.2 Agents as a tool for understanding human societies 12 1.3 Frequently Asked Questions (FAQ) 12 Part II Intelligent Autonomous Agents 19 2 Intelligent Agents 21 2.1 Intelligent Agents 26 2.2 Agents and Objects 28 2.3 Agents and Expert Systems 30 2.4 Agents as Intentional Systems 31 2.5 Abstract Architectures for Intelligent Agents 34 2.6 How to Tell an Agent What to Do 38 3 Deductive Reasoning Agents 49 3.1 Agents as Theorem Provers 50 3.2 Agent-Oriented Programming 55 3.3 Concurrent MetateM 56 4 Practical Reasoning Agents 65 4.1 Practical Reasoning = Deliberation +Means–Ends Reasoning 65 4.2 Means–Ends Reasoning 69 4.3 Implementing a Practical Reasoning Agent 75 4.4 The Procedural Reasoning System 79 5 Reactive and Hybrid Agents 85 5.1 Reactive Agents 85 5.1.1 The subsumption architecture 86 5.1.2 PENGI 90 5.1.3 Situated automata 90 5.1.4 The agent network architecture 91 5.1.5 The limitations of reactive agents 92 5.2 Hybrid Agents 92 5.2.1 Touring Machines 94 5.2.2 InteRRaP 96 5.2.3 3T 98 5.2.4 Stanley 99 Part III Communication and Cooperation 105 6 Understanding Each Other 107 6.1 Ontology Fundamentals 108 6.1.1 Ontology building blocks 108 6.1.2 Anontology of ontologies 110 6.2 Ontology Languages 113 6.2.1 XML–adhoc ontologies 113 6.2.2 OWL–The web ontology language 114 6.2.3 KIF–ontologies in first-order logic 120 6.3 RDF 121 6.4 Constructing an Ontology 124 6.5 Software Tools for Ontologies 127 7 Communicating 131 7.1 Speech Acts 132 7.1.1 Austin 132 7.1.2 Searle 133 7.1.3 The plan-based theory of speech acts 134 7.1.4 Speech acts as rational action 135 7.2 Agent Communication Languages 136 7.2.1 KQML 136 7.2.2 The FIPA agent communication language 140 7.2.3 JADE 146 8 Working Together 151 8.1 Cooperative Distributed Problem Solving 151 8.2 Task Sharing and Result Sharing 153 8.2.1 Task sharing in the Contract Net 156 8.3 Result Sharing 159 8.4 Combining Task and Result Sharing 159 8.5 Handling Inconsistency 161 8.6 Coordination 162 8.6.1 Coordination through partial global planning 163 8.6.2 Coordination through joint intentions 165 8.6.3 Coordination by mutual modelling 170 8.6.4 Coordination by norms and social laws 173 8.7 Multiagent Planning and Synchronization 177 9 Methodologies 183 9.1 When is an Agent-Based Solution Appropriate? 183 9.2 Agent-Oriented Analysis and Design 184 9.2.1 The AAII methodology 184 9.2.2 Gaia 186 9.2.3 Tropos 187 9.2.4 Prometheus 188 9.2.5 Agent UML 188 9.2.6 Agents in Z 189 9.3 Pitfalls of Agent Development 190 9.4 Mobile Agents 193 10 Applications 201 10.1 Agents for Workflow and Business Process Management 201 10.2 Agents for Distributed Sensing 203 10.3 Agents for Information Retrieval and Management 205 10.4 Agents for Electronic Commerce 211 10.5 Agents for Human–Computer Interfaces 213 10.6 Agents for Virtual Environments 214 10.7 Agents for Social Simulation 214 10.8 Agents for X 218 Part IV Multiagent Decision Making 221 11 Multiagent Interactions 223 11.1 Utilities and Preferences 223 11.2 Setting the Scene 226 11.3 Solution Concepts and Solution Properties 229 11.3.1 Dominant strategies 230 11.3.2 Nash equilibria 230 11.3.3 Pareto efficiency 233 11.3.4 Maximizing social welfare 235 11.4 Competitive and Zero-Sum Interactions 235 11.5 The Prisoner’s Dilemma 236 11.5.1 The shadow of the future 240 11.5.2 Program equilibria 243 11.6 Other Symmetric 2 ×2Interactions 245 11.7 Representing Multiagent Scenarios 248 11.8 Dependence Relations in Multiagent Systems 249 12 Making Group Decisions 253 12.1 Social Welfare Functions and Social Choice Functions 253 12.2 Voting Procedures 255 12.2.1 Plurality 255 12.2.2 Sequential majority elections 257 12.2.3 The Borda count 260 12.2.4 The Slater ranking 260 12.3 Desirable Properties for Voting Procedures 261 12.3.1 Arrow’s theorem 263 12.4 Strategic Manipulation 264 13 Forming Coalitions 269 13.1 Cooperative Games 270 13.1.1 The core 272 13.1.2 The Shapley value 274 13.2 Computational and Representational Issues 277 13.3 Modular Representations 278 13.3.1 Induced subgraphs 278 13.3.2 Marginal contribution nets 280 13.4 Representations for Simple Games 281 13.4.1 Weighted voting games 282 13.4.2 Network flow games 285 13.5 Coalitional Games with Goals 287 13.6 Coalition Structure Formation 288 14 Allocating Scarce Resources 293 14.1 Classifying Auctions 294 14.2 Auctions for Single Items 295 14.2.1 English auctions 295 14.2.2 Dutch auctions 296 14.2.3 First-price sealed-bid auctions 296 14.2.4 Vickrey auctions 296 14.2.5 Expected revenue 297 14.2.6 Lies and collusion 298 14.2.7 Counter speculation 299 14.3 Combinatorial Auctions 299 14.3.1 Bidding languages 302 14.3.2 Winner determination 306 14.3.3 The VCG mechanism 308 14.4 Auctions in Practice 310 14.4.1 Online auctions 310 14.4.2 Adwords auctions 311 14.4.3 The trading agent competition 312 15 Bargaining 315 15.1 Negotiation Parameters 315 15.2 Bargaining for Resource Division 317 15.2.1 Patient players 317 15.2.2 Impatient players 320 15.2.3 Negotiation decision functions 321 15.2.4 Applications of alternating offers 323 15.3 Bargaining for Task Allocation 323 15.3.1 Themonotonic concession protocol 326 15.3.2 The Zeuthen strategy 327 15.3.3 Deception 329 15.4 Bargaining for Resource Allocation 330 16 Arguing 337 16.1 Types of Argument 338 16.2 Abstract Argumentation 338 16.2.1 Preferred extensions 339 16.2.2 Credulous and skeptical acceptance 341 16.2.3 Preferences in abstract argument systems 343 16.2.4 Values in abstract argument systems 344 16.3 Deductive Argumentation Systems 345 16.4 Dialogue Systems 348 16.5 Implemented Argumentation Systems 350 17 Logical Foundations 355 17.1 Logics for Knowledge and Belief 355 17.1.1 Possible-worlds semantics for modal logics 357 17.1.2 Normal modal logics 358 17.1.3 Normal modal logics as epistemic logics 361 17.1.4 Logical omniscience 363 17.1.5 Axioms for knowledge and belief 364 17.1.6 Multiagent epistemic logics 365 17.1.7 Common and distributed knowledge 367 17.2 Logics for Mental States 369 17.2.1 Cohen and Levesque’s intention logic 369 17.2.2 Modelling speech acts 371 17.3 Logics for Cooperation 373 17.3.1 Incomplete information 375 17.3.2 Cooperation logics for social choice 376 17.4 Putting Logic to Work 376 17.4.1 Logic in specification 377 17.4.2 Logic in implementation 378 17.4.3 Logic in verification 381 Part V Coda 391 A A History Lesson 393 B Afterword 405 Glossary of Key Terms 407 References 425 Index 453
£54.10
Cambridge University Press Multiagent Systems Algorithmic Gametheoretic and
Book SynopsisMultiagent systems combine multiple autonomous entities, each having diverging interests or different information. This overview of the field offers a computer science perspective, but also draws on ideas from game theory, economics, operations research, logic, philosophy and linguistics. It will serve as a reference for researchers in each of these fields, and be used as a text for advanced undergraduate or graduate courses. The authors emphasize foundations to create a broad and rigorous treatment of their subject, with thorough presentations of distributed problem solving, game theory, multiagent communication and learning, social choice, mechanism design, auctions, cooperative game theory, and modal logics of knowledge and belief. For each topic, basic concepts are introduced, examples are given, proofs of key results are offered, and algorithmic considerations are examined. An appendix covers background material in probability theory, classical logic, Markov decision processes andTrade Review'… an excellent volume … It is the first book I have read that brings together the relevant mathematical results from such a wide variety of underlying disciplines. The writing is very clear, and the production standard is excellent … an invaluable reference manual for graduate students and researchers working on these topics … The price is appropriate for a volume of this type, especially as the book serves both to educate the reader and to serve as a reference manual.' Journal of the Operational Research SocietyTable of Contents1. Distributed constraint satisfaction; 2. Distributed optimization; 3. Introduction to non-cooperative game theory; 4. Computing solution concepts of normal-form games; 5. Games with sequential actions; 6. Richer representations; 7. Learning and teaching; 8. Communication; 9. Aggregating preferences; 10. Protocols for strategic agents; 11. Protocols for multiagent resource allocation; 12. Teams of selfish agents; 13. Logics of knowledge and belief; 14. Beyond belief.
£56.04
Taylor & Francis Inc Foundations of Augmented Cognition Human Factors
Book SynopsisBringing together a comprehensive and diverse collection of research, theory, and thought, this volume builds a foundation for the new field of Augmented Cognition research and development. The first section introduces general Augmented Cognition methods and techniques, including physiological and neurophysiological measures such as EEG and fNIR; adaptive techniques; and sensors and algorithms for cognitive state estimation. The second section discusses Augmented Cognition applications such as simulation and training, intent-driven user interfaces, closed-loop command and control systems, then goes on to explore lessons learned to date, and future directions in Augmented Cognition-enabled HCI.Table of ContentsContents: Part I: Human Information Processing.Part II: Cognitive State Sensors.Part III: Augmented Cognition Technology.Part IV: Augmented Cognition and Advanced Computing.Part V: AugCog New Directions.
£427.50
Imprint Academic Why the Mind is Not a Computer
Book SynopsisThe equation Mind = Machine is false. This pocket lexicon of neuromythology shows why. Taking a series of key words such as calculation, language, information and memory, Professor Tallis shows how their misuse has a lured a whole generation into accepting the computational model of the mind. First of all these words were used literally in the description of the human mind. Then computer scientists applied them metaphorically to the workings of their machines. And finally, their metaphorical status forgotten, the use of the terms was called as evidence of artificial intelligence in machines and the computational nature of conscious thought.
£10.59
Cambridge University Press The Cambridge Handbook of Responsible Artificial
Book SynopsisThere is an urgent need for responsible governance of Artificial Intelligence systems. This Handbook maps important features of responsible AI governance and demonstrates how to achieve and implement them at the regional, national and international level.Trade Review'… an indispensable and thought-provoking resource for shaping the future of AI and its societal impact.' Matija Franklin, PrometheusTable of ContentsIntroduction; Part I. Foundations of Responsible AI: 1. Artificial Intelligence – Key Technologies and Opportunities Wolfram Burgard; 2. Automating Supervision of AI Delegates Jaan Tallinn and Richard Ngo; 3. Artificial Moral Agents – Conceptual Issues and Ethical Controversy Catrin Misselhorn;4. Risk Imposition by Artificial Agents – The Moral Proxy Problem Johanna Thoma; 5. Artificial Intelligence and its Integration into the Human Lifeworld Christoph Durt; Part II. Current and Future Approaches to AI Governance: 6. Artificial Intelligence and the Past, Present and Future of Democracy Mathias Risse; 7. The New Regulation of the European Union on Artificial Intelligence – Fuzzy Ethics Diffuse into Domestic Law and Sideline International Law Thomas Burri; 8. Fostering the Common Good – An Adaptive Approach Regulating High-Risk AI-Driven Products and Services Thorsten Schmidt and Silja Voeneky; 9. China's Normative Systems for Responsible AI – From Soft Law to Hard Law Weixing Shen and Yun Liu; 10. Towards a Global Artificial Intelligence Charter Thomas Metzinger; 11. Intellectual Debt – With Great Power Comes Great Ignorance Jonathan Zittrain; Part III. Responsible AI Liability Schemes: 12. Liability for Artificial Intelligence – The Need to Address both Safety Risks and Fundamental Rights Risks Christiane Wendehorst; 13. Forward to the Past – A Critical Evaluation of the European Approach to Artificial Intelligence in Private International Law Jan von Hein; Part IV. Fairness and Non-Discrimination in AI Systems: 14. Differences that Make a Difference – Computational Profiling and Fairness to Individuals Wilfried Hinsch; 15. Discriminatory AI and the Law – Legal Standards for Algorithmic Profiling Antje von Ungern-Sternberg; Part V. Responsible Data Governance: 16. Artificial Intelligence and the Right to Data Protection Ralf Poscher; 17. Artificial Intelligence as a Challenge for Data Protection Law – And Vice Versa Boris Paal; 18. Data Governance and Trust – Lessons from South Korean Experiences Coping with COVID-19 Haksoo Ko, Sangchul Park and Yong Lim; Part VI. Responsible Corporate Governance of AI Systems: 19. From Corporate Governance to Algorithm Governance – Artificial Intelligence as a Challenge for Corporations and their Executives Jan Lieder; 20. Autonomization and Antitrust – On the Construal of the Cartel Prohibition in the Light of Algorithmic Collusion Stefan Thomas; 21. Artificial Intelligence in Financial Services – New Risks and the Need for More Regulation? Matthias Paul; Part VII. Responsible AI Healthcare and Neurotechnology Governance: 22. Medical AI – Key Elements at the International Level Fruzsina Molnár-Gábor and Johanne Giesecke; 23. 'Hey Siri, How Am I Doing?' – Legal Challenges for Artificial Intelligence Alter Egos in Healthcare Christoph Kroenke; 24. Neurorights – A Human-Rights Based Approach for Governing Neurotechnologies Philipp Kellmeyer; 25. AI-Supported Brain-Computer Interfaces and the Emergence of 'Cyberbilities' Boris Essmann and Oliver Mueller; Part VIII. Responsible AI for Security Applications and in Armed Conflict: 26. Artificial Intelligence, Law and National Security Ebrahim Afsah; 27. Morally Repugnant Weaponry? Ethical Responses to the Prospect of Autonomous Weapons Alex Leveringhaus; 28. On 'Responsible AI' in War – Exploring Preconditions for Respecting International Law in Armed Conflict Dustin A. Lewis.
£142.50
Cambridge University Press Algorithms and Law
Book SynopsisThis collection is the first to comprehensively examine the implications of AI technology on legal and regulatory systems. Featuring experts from Europe and the US, this book will appeal to scholars of law, economics, and public policy, as well as readers generally interested in emerging legal questions related to algorithms.Trade Review'There is a shift in the academic debate from the 'if' to the 'how' AI should and could be regulated. This volume covers a broad range of fields, from robotics to copyrights and financial services, all united in one question: what would a regulatory framework that allows us to de-mystify algorithms and get to grips with the commercialisation of data look like? The regulatability of AI is the key issue of our times. The ten contributions provide dense up-to-date information and enticing inspiration in the search for societally acceptable solutions.' Hans W. Micklitz, European University Institute'A timely book that finely addresses a crucial issue in the age of digitalization - the governance of algorithms - and helps to identify a new and necessary field of legal studies.' Ugo Pagallo, University of Turin'The ubiquity of algorithms in many areas of our lives has become one of the burning issues of our time, with legislators and policy-makers around the world grappling with the many challenges associated with Artificial Intelligence and Algorithms. This development is significant for many disciplines, including law. This collection of essays examines many of the legal issues of AI and algorithms and illustrates just how complex an area this has become. It will be welcomed by any reader interested in understanding the many legal and ethical questions which need to be resolved.' Christian Twigg-Flesner, University of Warwick'The book accomplishes a difficult task. It is an excellent source for those who dive for the first time into the legal challenges that AI poses to law … The book is written in such a clear manner that it allows an interdisciplinary understanding. The authors and editors should be applauded for the clarity with which they explore an extremely complex subject.' Francisco de Elizalde, PrometheusTable of ContentsPreface; 1. Robotics and Artificial Intelligence: The Present and Future Visions Sami Haddadin and Dennis Knobbe; 2. Regulating AI and Robotics: Ethical and Legal Challenges Martin Ebers; 3. Regulating Algorithms – How to De-Mystify the Alchemy of Code? Mario Martini; 4: Automated Decision-Making under Article 22 GDPR: Towards a More Substantial Regime for Solely Automated Decision-Making Diana Sancho; 5. Robot Machines and Civil Liability Susana Navas; 6. Extra-contractual Liability for Wrongs Committed by Autonomous Systems Ruth Janal; 7. Control of Algorithms in Financial Markets – the Example of High Frequency Trading Gerald Spindler; 8. Creativity of Algorithms and Copyright Susana Navas; 9. 'Wake Neutrality' of Artificial Intelligence Devices Brian Subirana, Renwick Bivings and Sanjay Sarma; 10. The (envisaged) Legal Framework of Commercialisation of Digital Data within the EU Björn Steinrötter.
£23.99
Cambridge University Press Copilots for Linguists
Book SynopsisAI can assist the linguist in doing research on the structure of language. This Element illustrates this possibility by showing how a conversational AI based on a Large Language Model can assist the Construction Grammarian, and especially the Frame Semanticist.Table of ContentsIntroduction; 1. Safety Instructions: Risks and Limitations of LLMs and Generative AI; 2. Constructions; 3. Using an AI to Help Study Constructions; 4. Limitations of LLMs for Constructional Analysis; 5. Cognitive Frames and FrameNet; 6. Prompt Engineering for Building FrameNet; 7. Final safety instructions: Risks and limitations revisited; 8. Imagining the Future of Copilots for Linguists.
£17.00
Taylor & Francis Ltd AI for Diversity
Book SynopsisArtificial intelligence (AI) is increasingly impacting many aspects of people's lives across the globe, from relatively mundane technology to more advanced digital systems that can make their own decisions. While AI has great potential, it also holds great peril depending on how it is designed and used. AI for Diversity questions how AI technology can lead to inclusion or exclusion for diverse groups in society. The way data is selected, trained, used, and embedded into societies can have unfortunate consequences unless we critically investigate the dangers of systems left unchecked, and can lead to misogynistic, homophobic, racist, ageist, transphobic, or ableist outcomes. This book encourages the reader to take a step back to see how AI is impacting diverse groups of people and how diversity-awareness strategies can impact AI.Trade Review"The book is written in a really approachable way for non-specialists and will engage introductory and interdisciplinary audiences. The sections on gender and queering AI are particularly strong, and the book is a highly worthy and important contribution for those chapters alone." --Ashley Shew, Associate Professor, Virginia TechTable of Contents1.Opening the Black Box of AI. 2. Gendered AI: performativity, expectations, and sexism. 3. Queering AI: gender expression, identity, and binaries. 4. AI and Race: recognition, bias, and systemic issues. 5. Bodies and AI: Health, ageing, and disabilities. 6. AI and Class: socioeconomic issues reproduced by technology. 7. Intersectionality and Responsible AI.
£120.00
CRC Press AI for Big DataBased Engineering Applications
Book SynopsisArtificial intelligence (AI), machine learning, and advanced electronic circuits involve learning from every data input and using those inputs to generate new rules for future business analytics. AI and machine learning are now giving us new opportunities to use big data that we already had, as well as unleash a whole lot of new use cases with new data types. With the increasing use of AI dealing with highly sensitive information such as healthcare, adequate security measures are required to securely store and transmit this information. This book provides a broader coverage of the basic aspects of advanced circuits design and applications.AI for Big Data-Based Engineering Applications from Security Perspectives is an integrated source that aims at understanding the basic concepts associated with the security of advanced circuits. The content includes theoretical frameworks and recent empirical findings in the field to understand the associated principles, key challenges, and recent real-time applications of advanced circuits, AI, and big data security. It illustrates the notions, models, and terminologies that are widely used in the area of Very Large Scale Integration (VLSI) circuits, security, identifies the existing security issues in the field, and evaluates the underlying factors that influence system security. This work emphasizes the idea of understanding the motivation behind advanced circuit design to establish the AI interface and to mitigate security attacks in a better way for big data. This book also outlines exciting areas of future research where already existing methodologies can be implemented. This material is suitable for students, researchers, and professionals with research interest in AI for big dataâbased engineering applications, faculty members across universities, and software developers.
£52.65
Taylor & Francis Ltd Making with Data
Book SynopsisHow can we give data physical form?And how might those creations change the ways we experience data and the stories it can tell?Making with Data: Physical Design and Craft in a Data-Driven World provides a snapshot of the diverse practices contemporary creators are using to produce objects, spaces, and experiences imbued with data. Across 25+ beautifully-illustrated chapters, international artists, designers, and scientists each explain the process of creating a specific data-driven pieceâillustrating their practice with candid sketches, photos, and design artifacts from their own studios.The author website, featuring updates and more information about the projects behind the book, can be found here: https://makingwithdata.org/.Featuring influential voices in computer science, data science, graphic design, art, craft, and architecture, Making with Data is accessible and inspiring for entTrade Review"A mind-blowing collection! With the rich visual process descriptions, the creators invite us into their workshops and let us look over their shoulders. You will discover both an exhibition of wonderful data-inspired works as well as the backstories of each of these pieces. Whether hand-made, machine-controlled, or through natural processes, all the chapters show fascinating and bespoke creations of data objects. A much needed collection highlighting what is happening at the frontiers of art and sciences in this new field of data design."-- Giorgia Lupi, partner at Pentagram and author of Dear Data"What a much-needed book! Till, Sam, Lora, and Wes show us that data communication can be so much more than just visualization. There is a whole exciting world of data physicalization waiting to be explored, and the authors open the door for us and lead us through it with intelligent commentary. The book takes us to visit different artists, who explain their approaches and tools – from copper pipes to paper, from wood to electronics. It's a hugely inspiring tour. Reading this book will make you want to experiment with data in the realm of the physical."-- Lisa Charlotte Muth, data vis designer and writer at Datawrapper "This book has fresh inspirations from innovative artist-inventors who open up new possibilities for anyone who has data that tells a story. The screen is no longer the goal or the limit; freeing designers to explore more dimensions and shape deeper experiences to reach people with important messages about their health, communities, and climate. Data physicalizations break free into new dimensions where playful imaginations can use water, plastic, wood, or stone to fabricate data stories for public installations and private reflections. This book makes me want to turn on the laser cutter and restart the 3D printer to fabricate something startling, informative, and eye opening."-- Ben Shneiderman, Professor, Computer science, University of Maryland, USA"A collection of recent and diverse data-driven physical artifacts and sensorial experiences. Projects are beautifully illustrated and described in jargon-free language packed with practical information elucidating the design process, from the tools used to the context of their conception. Making with Data is an invaluable resource for educators and practitioners alike. It broadens our perspective of representing data by engaging all our senses."-- Isabel Meirelles, Professor, Faculty of Design, OCAD University, Toronto, Canada"“Designing with Data” is one of today’s key mantras. What next? Perhaps “Making with Data”, as argued by professors Huron, Nagel, Oehlberg and Willett. This timely book explores new ways data is penetrating our living environment and is crossing the boundary between the physical and the digital. Innovative fabrication methods lend materiality to data, as designers experiment with the use of laser cutters and 3D printers to transform maps and charts into tactile models and artworks. A compelling read for any data enthusiast!"-- Carlo Ratti, Director, MIT Senseable City Lab, USATable of Contents1. Handcraft - Introduction by Sheelagh Carpendale and Lora Oehlberg. 1.1 Snow Water Equivalent by Adrien Segal. 1.2 Life in Clay by Alice Thudt. 1.3 V-Pleat Data Origami by Sarah Hayes. 1.4 Anthropocene Footprints by Mieka West. 1.5 Endings by Loren Madsen. 2. Participation - Introduction by Georgia Panagiotidou and Andrew Vande Moere. 2.1 Cairn by Pauline Gourlet and Thierry Dassé. 2.2 SeeBoat by Laura Perovich. 2.3 Let’s Play with Data by Jose Duarte and EasyDataViz. 2.4 100% [City] by Rimini Protokoll (Helgard Haug, Stefan Kaegi, and Daniel Wetzel). 2.5 Data Strings by Daniel Pearson, Pau Garcia, and Alexandra de Requesens. 3. Digital Production - Introduction by Yvonne Jansen. 3.1 Chemo Singing Bowl by Stephen Barrass. 3.2 Wage Islands by Ekene Ijeoma. 3.3 Data That Feels Gravity by Volker Schweisfurth. 3.4 Orbacles by MINN_LAB Design Collective (Daniel F. Keefe, Ross Altheimer, Andrea J. Johnson, Mahdieh Mahmoudi, Patrick Moe, Maura Rockcastle, Marc Swackhamer, and Aaron Wittkamper). 3.5 Dataseeds by Nick Dulake and Ian Gwilt. 4 Actuation - Introduction by Pierre Dragicevic. 4.1 Tenison Road Charts by David Sweeney, Alex Taylor, and Siân Lindley. 4.2 LOOP by Kim Sauvé and Steven Houben. 4.3 AirFIELD by Nik Hafermaas, Dan Goods, and Jamie Barlow. 4.4 EMERGE by Jason Alexander, Faisal Taher, John Hardy, and John Vidler. 4.5 Zooids by Mathieu Le Goc, Charles Perin, Sean Follmer, Jean-Daniel Fekete, and Pierre Dragicevic. 5. Environment - Introduction by Dietmar Offenhuber. 5.1 Perpetual Plastic by Liina Klauss, Moritz Stefaner and Skye Morét. 5.2 Dataponics: Human-Vegetal Play by Robert Cercós. 5.3 Solar Totems by Charles Sowers. 5.4 Staubmarke (Dustmark) by Dietmar Offenhuber.
£39.99
CRC Press Artificial Intelligence and Modeling for Water
Book SynopsisArtificial intelligence and the use of computational methods to extract information from data are providing adequate tools to monitor and predict water pollutants and water quality issues faster and more accurately. Smart sensors and machine learning models help detect and monitor dispersion and leakage of pollutants before they reach groundwater. With contributions from experts in academia and industries, who give a unified treatment of AI methods and their applications in water science, this book help governments, industries, and homeowners not only address water pollution problems more quickly and efficiently, but also gain better insight into the implementation of more effective remedial measures.FEATURES Provides cutting-edge AI applications in water sector. Highlights the environmental models used by experts in different countries. Discusses various types of models using AI and its tools for achieving sustainable development in water and groundwater. Includes case studies and recent research directions for environmental issues in water sector. Addresses future aspects and innovation in AI field related to watersustainability. This book will appeal to scientists, researchers, and undergraduate and graduate students majoring in environmental or computer science and industry professionals in water science and engineering, environmental management, and governmental sectors. It showcases artificial intelligence applications in detecting environmental issues, with an emphasis on the mitigation and conservation of water and underground resources.Table of ContentsIntroduction. Environmental Models for Sustainable Development. Role of Artificial Intelligence in Water Sector: Dependency on Automation Systems. Modeling and Prediction of Water Security Connected to Global Challenges. Simulation Models of Threatened Aquatic Ecosystems. Monitoring of Contaminants in Aquatic Ecosystems using Big Data. Mitigation of Water Shortage Issues: Water 4.0. Water Pollution Monitoring Using Artificial Intelligent: Basic Algorithm Design. Neural Networks in Wastewater Treatment Process. Circular Economy Models in Water and Wastewater. Integrated Water Resources Management: Perspectives and Challenges. Hydrological Modeling for Sustainable Groundwater Resources.
£115.00
Taylor & Francis Ltd Urban Freight Analytics
Book SynopsisUrban Freight Analytics examines the key concepts associated with the development and application of decision support tools for evaluating and implementing city logistics solutions. New analytical methods are required for effectively planning and operating emerging technologies including the Internet of Things (IoT), Information and Communication Technologies (ICT), and Intelligent Transport Systems (ITS).The book provides a comprehensive study of modelling and evaluation approaches to urban freight transport. It includes case studies from Japan, the US, Europe, and Australia that illustrate the experiences of cities that have already implemented city logistics, including analytical methods that address the complex issues associated with adopting advanced technologies such as autonomous vehicles and drones in urban freight transport.Also considered are future directions in urban freight analytics, including hyperconnected city logistics based on the Physical ITable of ContentsPart I. Methods. 1. Introduction. 2. Data collection and analyses. 3. Geographic information systems and spatial analysis. 4. Optimisation. 5. Multi-agent simulation with machine learning. 6. Reliability and resilience. 7. Evaluation. Part II. Applications. 8. Autonomous Vehicles and Robots. 9. Access management and pricing. 10. Environmental sustainability. 11. Disruption of Networks. 12. Future directions.
£76.49
Taylor & Francis Ltd Digital Signals Theory
Book SynopsisWhere most introductory texts to the field of digital signal processing assume a degree of technical knowledge, this class-tested textbook provides a comprehensive introduction to the fundamentals of digital signal processing in a way that is accessible to all.Beginning from the first principles, readers will learn how signals are acquired, represented, analyzed and transformed by digital computers. Specific attention is given to digital sampling, discrete Fourier analysis and linear filtering in the time and frequency domains. All concepts are introduced practically and theoretically, combining intuitive illustrations, mathematical derivations and software implementations written in the Python programming language. Practical exercises are included at the end of each chapter to test reader knowledge.Written in a clear and accessible style, Digital Signals Theory is particularly aimed at students and general readers interested in audio and digital signal processiTable of ContentsSignals. Digital Sampling. Convolution. The Discrete Fourier Transform. Properties of the DFT. DFT Invertibility. Fast Fourier Transform. Time Frequency Representation. Frequency Domain Convolution. Infinite Impulse Response Filters. Analyzing IIR filters. Appendix.
£42.99
Taylor & Francis Ltd Applications of Artificial Intelligence AI and
Book SynopsisToday, raw data on any industry is widely available. With the help of artificial intelligence (AI) and machine learning (ML), this data can be used to gain meaningful insights. In addition, as data is the new raw material for today's world, AI and ML will be applied in every industrial sector. Industry 4.0 mainly focuses on the automation of things. From that perspective, the oil and gas industry is one of the largest industries in terms of economy and energy.Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry analyzes the use of AI and ML in the oil and gas industry across all three sectors, namely upstream, midstream, and downstream. It covers every aspect of the petroleum industry as related to the application of AI and ML, ranging from exploration, data management, extraction, processing, real-time data analysis, monitoring, cloud-based connectivity system, and conditions analysis, to the final delivery of the proTable of Contents1. A Comprehensive Review of Machine Application in the Oil and Gas Industry 2. AI and ML Application in the Upstream Sector of the Oil and Gas Industry 3. One Step Further in Upstream Sector 4. Midstream Sector with ML Models and Techniques 5. Downstream Sector with Machine Learning 6. Safety and Maintenance with AI and ML 7. Finance with ML and AI 8. Market and Trading in Oil and Gas (Petroleum) Industry 9. Future of Oil and Gas (Petroleum) Industry with AI
£80.74
CRC Press Digitalization and Social Change
Book SynopsisDigitalization is shaping our everyday lives, yet navigating the changes it entails can feel like trekking into the unknown, where both the possibilities and the consequences are unclear and difficult to grasp. Exploring how digitalization affects all aspects of our lives, from health to culture, this book aims to develop and strengthen the reader's ability to think critically about such developments.Written in a clear and concise manner with reference to science fiction and pop culture, this book presents potent theoretical perspectives for understanding digitalization processes as societal change. Various exercises are included throughout to encourage readers to critically explore digitalization in their own lives.Replete with illustrations and examples, this book is an accessible guide to digitalization in the modern societal context, appealing to students at the undergraduate level as well as general readership.Table of ContentsPrefaceSection 1Chapter 1: Getting lost in a the digital1.1 Limited or liberated by ubiquitous digital technology? 1.2 It Could Be Otherwise (ICBO) – the foundation of critical thinking1.3 Opening the black box1.4 A response to political and corporate solutionism1.5 Digitalization as a topic for Science and Technology Studies (STS) 1.6 A critical sociotechnical perspective1.7 The structure of the book1.8 ConclusionReferencesChapter 2: What is "digitalization," exactly? 2.1 Digitalization as technological fix2.2 Defining digitalization2.3 Defining digitalization as a political act in itself2.4 A digitalized world2.5 Digitalization as a sociotechnical process2.6 ConclusionReferencesSection 2Chapter 3: A sociotechnical perspective on digitalization3.1 What is a sociotechnical perspective on digitalization? 3.2 What do we mean by "technology"? 3.3 Technologies and their agency3.4 Why technological determinism is a dead end3.5 Technological reductionism3.6 How social determinism is equally problematic3.7 ConclusionReferencesChapter 4: Domestication: User perspectives on technology4.1 A user perspective on technology4.2 Domestication theory4.3 The dimensional model of domestication4.4 The history of domestication4.5 Strengths and weaknesses of domestication theory4.6 Re-domestication and dis-domestication4.7 What non-users can teach us about the use of technology4.8 Normativity and use4.9 ConclusionReferencesChapter 5: Script: Technology’s manual for use5.1 Script as technology’s manual5.2 The historical and theoretical position of script theory5.3 How do you do a script analysis? 5.4 Making scripts through technology development5.5 ConclusionReferencesChapter 6: Technologies as normality machines6.1 A thought experiment on a student app6.2 Technology as inclusion or exclusion? 6.3 Scripting the use and users to create differences6.4 The digital divide6.5 ConclusionReferencesChapter 7: Digital technologies in the past and present7.1 Becoming a communication society7.2 What comes after the communication society? 7.3 Digitalization and some sample diagnoses of the times7.4 ConclusionReferencesSection 3Chapter 8: Digitalization of health: Networks of care and technology8.1 In search of good health: Robots to the rescue? 8.2 Digital technology for better health? 8.3 Talking flowerpots: Welfare technology in the home8.4 Exergames: Gamifying health8.5 Support groups in social media: Communities for mental health8.6 Digitalization makes the actor network of health visible8.7 ConclusionReferencesChapter 9: Digitalization of work: Automation, responsibility, and reskilling9.1 Two visions of future work9.2 From animal laborans to homo faber9.3 Automating workers? 9.4 Who operates self-service checkouts? 9.5 The digital stopwatch and the attempt to automate care work9.6 Craftspeople at construction sites working with robots9.7 What will we do in the future—and how will we do it? 9.8 ConclusionReferencesChapter 10: Digitalization of control: Surveillance, automation, and algorithms10.1 Control through surveillance and digital tracking10.2 Control of animals using virtual fences10.3 Care, technology, and the desire for boundaries when surveilling children10.4 Predictive police algorithms: Surveillance of data sets and predictions of the future10.5 Life in a surveillance society: What digitalization does to surveillance10.6 ConclusionReferencesChapter 11: Digitalization of culture: Remix, community, and prosumers11.1 SKAM and transmedia storytelling11.2 Remix culture as the foundation of digital culture11.3 Understanding where remix culture comes from: Participatory culture and networked publics11.4 Memes: Collective creativity, both serious and humorous11.5 Fan fiction: When fans take ownership of the story11.6 Twitch.tv and livestreaming games: How innovative gamers made one of the world’s biggest platforms11.7 Discussion: Prosumers’ new cultural expressions11.8 ConclusionReferencesChapter 12: Digitalization of the self: Selfies, influencers and the quantified self12.1 Picture perfect? What "Instagram vs. reality" can teach us about being fakeness and authenticity online12.2 From anonymity to persistent identities on the internet12.3 Frontstage, backstage, and the cyborg’s theater12.4 Selfies: The cyborg’s self-portrait? 12.5 Influencers: The professionalized digital self12.6 The quantified self: Believing in a countable and optimized self12.7 Discussion: The cyborg’s expanded toolbox12.8 ConclusionReferencesSection 4Chapter 13: Digitalization summarized13.1 Part 1: A critical perspective on digitalization13.2 Part 2: Theoretical Tools13.3 Part 3: Empirical case studies13.4 Digitalization as social change13.5 A user perspective on digitalization13.6 Critical thinking about digitalizationChapter 14: Analytical cheat sheet: A guide for thinking critically about digitalization14.1 Interpretative flexibility14.2 Delegation14.3 Actor-network14.4 Script14.5 DomesticationChapter 15: Methods cheat sheet: How to study digitalization15.1 Research question: What are you going to find out? 15.2 Choosing method: How are you going to find it? 15.3 Tips for getting good data15.4 From data to analysis
£40.84
Taylor & Francis Ltd Autonomous Agricultural Vehicles
This comprehensive guide to agricultural robots is the ideal companion for any student or professional engineer looking to understand and develop autonomous vehicles to use on the modern farm.With world hunger one of the modern era's most pressing issues, autonomous agricultural vehicles are a key tool in tackling this problem. Smart farming can increase total factory productivity through designing autonomous vehicles based on specific needs, in addition to implementing smart systems into day-to-day operations. This book provides step-by-step guidance, from the theory behind autonomous vehicles, through to the design process and manufacture. Detailing all components of an autonomous agricultural vehicle, from sensors, controlling algorithms, communication and controlling units, the book covers topics such as artificial intelligence and machine learning. It also includes case studies, and a detailed guide to international policymaking in recent years.Suitable fo
£84.99
CRC Press Combinatorial Optimization Under Uncertainty
Book SynopsisThis book discusses the basic ideas, underlying principles, mathematical formulations, analysis and applications of the different combinatorial problems under uncertainty and attempts to provide solutions for the same. Uncertainty influences the behaviour of the market to a great extent. Global pandemics and calamities are other factors which affect and augment unpredictability in the market. The intent of this book is to develop mathematical structures for different aspects of allocation problems depicting real life scenarios. The novel methods which are incorporated in practical scenarios under uncertain circumstances include the STAR heuristic approach, Matrix geometric method, Ranking function and Pythagorean fuzzy numbers, to name a few. Distinct problems which are considered in this book under uncertainty include scheduling, cyclic bottleneck assignment problem, bilevel transportation problem, multi-index transportation problem, retrial queuing, uncertain matrix games, optimalTable of ContentsPreface. About the Editors. Chapter 1 Estimation of Uncertainties for Multiserver Queuing Systems with Bernoulli Feedback. Chapter 2 Optimality for Fuzzy Transportation Problem under Ranking Method. Chapter 3 Solution of Bilevel Linear Fractional Transportation Problem with Pythagorean Fuzzy Numbers. Chapter 4 Optimal Production Evaluation of Cotton in Different Soil and Water Conditions in Sundarban of West Bengal under Hesitant Interval Fuzzy Environment Using Projection Measures. Chapter 5 A Novel Approach for Feature Detection in Vector Graphics. Chapter 6 On Uncertain Matrix Games Involving Linguistic Pythagorean Fuzzy Sets. Chapter 7 Cyclic Surgery Scheduling using Variations of Cohort Intelligence. Chapter 8 Cone Method for Uncertain Multiobjective Optimization Problems with Minmax Robustness. Chapter 9 Solving Multi-Index Transportation Problem with Axial Constraints Having Impaired Flow. Chapter 10 STAR Heuristic Method: A Novel Approach and Its Comparative Analysis with CI Algorithm to Solve CBAP in Healthcare. Chapter 11 Development and Optimization of Quadratic Programming Problems with Intuitionistic Fuzzy Parameters. Index
£74.99
Taylor & Francis Ltd Artificial Intelligence for Capital Markets
Book SynopsisArtificial Intelligence for Capital Market throws light on the application of AI/ML techniques in the financial capital markets. This book discusses the challenges posed by the AI/ML techniques as these are prone to black box syndrome. The complexity of understanding the underlying dynamics for results generated by these methods is one of the major concerns which is highlighted in this book.Features: Showcases artificial intelligence in finance service industry Explains credit and risk analysis Elaborates on cryptocurrencies and blockchain technology Focuses on the optimal choice of asset pricing model Introduces testing of market efficiency and forecasting in the Indian stock market This book serves as a reference book for academicians, industry professionals, traders, finance managers and stock brokers. It may also be used as textbook for graduate level courses in financial services and financial analytics.Table of Contents1. Artificial Intelligence in the Financial Service Industry. 2. Machine Learning and Big Data in Finance Services. 3. Artificial Intelligence in Financial Services: Advantages and Disadvantages. 4. Upscaling Profits in Financial Market. 5. Credit and Risk Analysis in the Financial and Banking Sectors: An Investigation. 6. Cryptocurrencies and Blockchain Technology Applications. 7. Machine Learning and the Optimal Choice of Asset Pricing Model. 8. Testing for Market Efficiency Using News-Driven Sentiment: Evidence from Select NYSE Stocks. 9. Comparing Statistical, Deep Learning, and Additive Models for Forecasting in the Indian Stock Market. 10. Applications and Impact of Artificial Intelligence in the Finance Sector.
£99.00
CRC Press Handbook of Smart Manufacturing
Book SynopsisThis handbook covers smart manufacturing development, processing, modifications, and applications. It provides a complete understanding of the recent advancements in smart manufacturing through its various enabling manufacturing technologies, and how industries and organizations can find the needed information on how to implement smart manufacturing towards sustainability of manufacturing practices.Handbook of Smart Manufacturing: Forecasting the Future of Industry 4.0 covers all related advances in manufacturing such as the integration of reverse engineering with smart manufacturing, industrial internet of things (IIoT), and artificial intelligence approaches, including Artificial Neural Network, Markov Decision Process, and Heuristics Methodology. It offers smart manufacturing methods like 4D printing, micro-manufacturing, and processing of smart materials to assist the biomedical industries in the fabrication of human prostheses and implants. The handbook goes on to discusTable of Contents1. Smart Manufacturing and Industry 4.0: State-of-the-Art Review. 2. Study And Analysis Of Iot (Industry 4.0): A Review. 3. Recent advances in Cybersecurity in Smart Manufacturing Systems in the Industry. 4. Integration of Circular Supply Chain and Industry 4.0 to Enhance Smart Manufacturing Adoption. 5. Artificial Intelligence with Additive Manufacturing. 6. Robotic additive manufacturing vision towards smart manufacturing and envisage the trend with patent landscape. 7. Smart Materials for Smart Manufacturing. 8. Smart Biomaterials in Industry and Healthcare. 9. Ferroelectric polymer composites and evaluation of their properties. 10. 4D print today and envisaging the trend with patent landscape for versatile applications. 11. Investigating the work generation potential of SMA wire actuator. 12. Troubleshooting on the sample preparation during Fused Deposition Modelling. 13. Hybrid Additive Manufacturing Technologies. 14. Smart Manufacturing Using 4d Printing. 15. Developments in 4D Printing and Associated Smart Materials. 16. Role of smart manufacturing systems in improving electric vehicle production. 17. Safety management with application of Internet of Things, Artificial Intelligence and Machine Learning for Industry 4.0 environment.
£152.00
Taylor & Francis Ltd Explainable AI in Healthcare
Book SynopsisThis title covers computer vision and machine learning (ML) advances that facilitate automation in diagnostic, therapeutic, and preventative healthcare. The book shows the development of algorithms and architectures for healthcare. Table of Contents1. Human–AI Relationship in Healthcare. 2. Deep Learning in Medical Image Analysis: Recent Models and Explainability. 3. An Overview of Functional Near-Infrared Spectroscopy and Explainable Artificial Intelligence in fNIRS. 4. An Explainable Method for Image Registration with Applications in Medical Imaging. 5. State-of-the-Art Deep Learning Method and Its Explainability for Computerized Tomography Image Segmentation. 6. Interpretability of Segmentation and Overall Survival for Brain Tumors. 7. Identification of MR Image Biomarkers in Brain Tumor Patients Using Machine Learning and Radiomics Features. 8. Explainable Artificial Intelligence in Breast Cancer Identification. 9. Interpretability of Self-Supervised Learning for Breast Cancer Image Analysis. 10. Predictive Analytics in Hospital Readmission for Diabetes Risk Patients. 11. Continuous Blood Glucose Monitoring Using Explainable AI Techniques. 12. Decision Support System for Facial Emotion-Based Progression Detection of Parkinson’s Patients. 13. Interpretable Machine Learning in Athletics for Injury Risk Prediction. 14. Federated Learning and Explainable AI in Healthcare.
£89.99
Taylor & Francis Ltd What Every Engineer Should Know About Risk
Book SynopsisCompletely updated, this new edition uniquely explains how to assess and handle technical risk, schedule risk, and cost risk efficiently and effectively for complex systems that include Artificial Intelligence, Machine Learning, and Deep Learning. It enables engineering professionals to anticipate failures and highlight opportunities to turn failure into success through the systematic application of Risk Engineering. What Every Engineer Should Know About Risk Engineering and Management, Second Edition discusses Risk Engineering and how to deal with System Complexity and Engineering Dynamics, as it highlights how AI can present new and unique ways that failures can take place. The new edition extends the term Risk Engineering introduced by the first edition, to Complex Systems in the new edition. The book also relates Decision Tree which was explored in the first edition to Fault Diagnosis in the new edition and introduces new chapters on System Complexity, AI, and Causal RiskTable of Contents1. Risk Engineering - Dealing with System Complexity and Engineering Dynamics. 2. Risk Identification - Understanding the Limits of Engineering Designs. 3. Risk Assessment - Extending Murphy’s Law. 4. Design for Risk Engineering - The Art of War Against Failures. 5. Risk Acceptability - Uncertainty in Perspective. 6. From Risk Engineering to Risk Management. 7. Cost Risk - Interacting with Engineering Economy. 8. Schedule Risk - Identifying and Controlling Critical Paths. 9. Integrated Risk Management and Computer Simulation.
£47.15
Taylor & Francis Ltd Ethics in Humanlike Robots
Book SynopsisThe idea of creating artificial humans can be found at the beginning of the human culture. Ancient myths contain the stories of artificial humans brought to life by gods. The word robot originates from a play that was about artificial humans made from artificial flesh that aims to serve real humans. With advancements in robotics, the materialization of this idea is more real than ever before. We are witnessing attempts to create humanoid robots that might be deployed in many spheres of our life - policing, healthcare, and even for love and sex.The book focuses on the ethical issues of human likeness of robots and human tendency to anthropomorphize. It is built on the assumption that design choices are not neutral, and they need to be discussed to align robots with human values. With robots operating in the physical world, they bring ideas and risks that should be addressed before widespread deployment. The book reviews specific issues and provides suggestions an
£57.37
Taylor & Francis Ltd AI Management System Certification According to
Book SynopsisThe book guides the reader through the auditing and compliance process of the newly released ISO Artificial Intelligence standard. It provides tools and best practices on how to put together an AI management system that is certifiable and sheds light on ethical and legal challenges business leaders struggle with to make their AI system comply with existing laws and regulations, and the ethical framework of the organization.The book is unique because it provides implementation guidance on the new certification and conformity assessment process required by the new ISO Standard on Artificial Intelligence (ISO 42001:2023 Artificial Intelligence Management System) published by ISO in August 2023. This is the first book that addresses this issue.As a member of the US/ISO team who participated in the drafting of this standard during the last 3 years, the author has direct knowledge and insights that are critical to the implementation of the standard. He explains the context o
£45.99
CRC Press Data as the Fourth Pillar
Book SynopsisData as the Fourth Pillar reasons that data should be considered the Fourth Pillar of every enterprise, alongside people, processes, and technology. Aimed at Boards, CEOs, and CxOs, it provides a compelling case for why and how they should treat data as a strategic asset. It presents a comprehensive, success-by-design approach for enterprises, guiding them through a Maturity Framework to accelerate their data-centric journey.This book addresses the Why, the What, and the How of achieving this goal in measurable terms. It introduces key performance indicators (KPIs) such as Total Addressable Value (TAV) and Expected Addressable Value through data (EAV) to help measure the impact provided by the data pillar. The book also explores the symbiotic relationship between AI and data, illustrating how both enable and benefit from each other. A case study of Audi AG provides practical insights into the concepts and frameworks discussed.This book is an essential resource for business executives in both SMBs and large enterprises, helping them navigate a highly complex and hyper-competitive business landscape while accelerating business value for their stakeholder communities.
£44.99
Taylor & Francis Large Language Models LLMs for Healthcare
£46.54
CRC Press Parallel Robots
Book SynopsisIn todayâs rapidly evolving industrial landscape, robotics has become essential for meeting the demands of large-scale production. Parallel robots, with their closed-loop kinematic structures, offer unmatched precision, rigidity, and load-bearing capabilities, making them indispensable for tasks requiring high accuracy and efficiency. This book explores the unique advantages of parallel robots, providing a comprehensive resource for engineers, researchers, and students interested in mastering their design, analysis, and control.Building on the success of its first edition, this second edition has been extensively restructured and updated to reflect over a decade of progress in robotics. Features expanded chapters on dynamics, new sections on simulation and calibration Detailed exploration of control techniques, ranging from introductory linear methods to advanced force control With nearly 45% updated references, the text ensures readers are equipped with cutting-edge knowledge. This book is both a comprehensive guide and a gateway to innovation, providing detailed insights into the design, simulation, calibration, and control of parallel robots. Whether you are a newcomer to robotics or an experienced professional, this text equips you with the knowledge to harness the full potential of parallel robots, helping you stay ahead in the dynamic field of industrial automation.
£999.99
CRC Press AI Use Cases for Diplomats
Book SynopsisIn today's rapidly changing world, diplomacy is undergoing a revolutionary transformation. Imagine ambassadors using artificial intelligence to analyze millions of social media posts in real time, crisis responses guided by predictive analytics, and complex negotiations enhanced by unprecedented data-driven insights. This isn't the futureâit's diplomacy today, reimagined through AI.Drawing on over 21 years of experience integrating technology into foreign affairs, Donald Kilburg, a retired U.S. diplomat, reveals how AI is revolutionizing diplomatic engagement, crisis management, and public diplomacy. From enhancing communication strategies to optimizing consular services, each chapter presents a vivid exploration of AI's potential to amplify the effectiveness of diplomatic missions across the globe.Readers will discover practical strategies for implementing AI in diplomatic operations, gain insights into the future of AI-driven global governance, and learn whenâcruciallyânot to use AI at all. Through vivid case studies and real-world examples, this book illuminates both the opportunities and ethical complexities at the intersection of technology and international relations.Whether you're a diplomatic practitioner, a student of international affairs, or fascinated by technology's impact on global relationships, this groundbreaking guide charts the course for diplomacy's next evolutionâwhere human wisdom and artificial intelligence converge to address our world's most pressing challenges.
£47.49
CRC Press Robotics
Book Synopsis
£999.99
Taylor & Francis Artificial Intelligence and Machine Learning in Cybersecurity
a huge range and FREE tracked UK delivery on ALL orders.
£40.84
CRC Press Artificial Intelligence and Cloud Computing Applications in Biomedical Engineering
a huge range and FREE tracked UK delivery on ALL orders.
£118.75
CRC Press Towards Unmanned Surface Vehicles
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£77.89
Taylor & Francis Alive Inside
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£31.34
Cambridge University Press The Mechanics of Robot Grasping
Book SynopsisIn this comprehensive textbook about robot grasping, readers will discover an integrated look at the major concepts and technical results in robot grasp mechanics. A large body of prior research, including key theories, graphical techniques, and insights on robot hand designs, is organized into a systematic review, using common notation and a common analytical framework. With introductory and advanced chapters that support senior undergraduate and graduate level robotics courses, this book provides a full introduction to robot grasping principles that are needed to model and analyze multi-finger robot grasps, and serves as a valuable reference for robotics students, researchers, and practicing robot engineers. Each chapter contains many worked-out examples, exercises with full solutions, and figures that highlight new concepts and help the reader master the use of the theories and equations presented.Trade Review'The Mechanics of Robot Grasping, by two of the world's leading experts, fills an important gap in the literature by providing the first comprehensive survey of the mathematical tools needed to model the physics of grasping. The book uses configuration space to consistently characterize equilibrium, immobilizing, and caging grasps, and clearly conveys important points such as the distinction between first-order and second-order form closure. The book also contains new material on the effects of gravity, compliance, and hand mechanism design. Grasping remains a Grand Challenge for robots and this book provides the solid foundation for progress for students and researchers in the years ahead.' Ken Goldberg, University of California, Berkeley'This is a book on robotic hand grasping from new view points. Different from other books on grasping, this book concretely explains the equilibrium grasp, the immobilizing grasp and the caging grasp. In addition, I have never seen a book discussing the equilibrium stance of legged robots in relation to the equilibrium grasp. Classical topics on grasping mechanics are also covered in this book.' Kensuke Harada, Osaka University, JapanTable of Contents1. Introduction and overview; Part I. Basic Geometry of the Grasping Process: 2. Rigid-body configuration space; 3. Configuration space tangent and cotangent vectors; 4. Rigid body equilibrium grasps; 5. A catalog of equilibrium grasps; Part II. Frictionless Rigid Body Grasps and Stances: 6. Introduction to secure grasps; 7. First-order immobilizing grasps; 8. Second-order immobilizing grasps; 9. Minimal immobilizing grasps; 10. Multi-finger caging grasps; 11. Frictionless hand supported stances under gravity; Part III. Frictional Rigid-Body Grasps, Fixtures, and Stances: 12. Wrench resistant grasps; 13. Grasp quality functions; 14. Hand supported stances under gravity – Part I; 15. Hand supported stances under gravity – Part II; Part IV. Grasping Mechanisms: 16. The kinematics and mechanics of grasping mechanisms; 17. Grasp manipulability; 18. Hand mechanism compliance; Appendices; Index.
£100.70
Cambridge University Press Sentiment Analysis
Book SynopsisSentiment analysis is the computational study of people''s opinions, sentiments, emotions, moods, and attitudes. This fascinating problem offers numerous research challenges, but promises insight useful to anyone interested in opinion analysis and social media analysis. This comprehensive introduction to the topic takes a natural-language-processing point of view to help readers understand the underlying structure of the problem and the language constructs commonly used to express opinions, sentiments, and emotions. The book covers core areas of sentiment analysis and also includes related topics such as debate analysis, intention mining, and fake-opinion detection. It will be a valuable resource for researchers and practitioners in natural language processing, computer science, management sciences, and the social sciences. In addition to traditional computational methods, this second edition includes recent deep learning methods to analyze and summarize sentiments and opinions, and alTrade Review'As a whole, this book serves as a useful introduction to sentiment analysis along with in-depth discussions of linguistic phenomena related to sentiments, opinions, and emotions. Although many sentiment analysis methods are based on machine learning as in other NLP [Natural Language Processing] tasks, sentiment analysis is much more than just a classification or regression problem, because the natural language constructs used to express opinions, sentiments, and emotions are highly sophisticated, including sentiment shift, implicated expression, sarcasm, and so on. Liu has described these issues and problems very clearly. Readers will find this book to be inspiring and it will arouse their interests in sentiment analysis.' Jun Zhao, Chinese Academy of SciencesTable of Contents1. Introduction; 2. The Problem of Sentiment Analysis; 3. Document Sentiment Classification; 4. Sentence Subjectivity and Sentiment Classification; 5. Aspect Sentiment Classification; 6. Aspect and Entity Extraction; 7. Sentiment Lexicon Generation; 8. Analysis of Comparative Opinions; 9. Opinion Summarization and Search; 10. Analysis of Debates and Comments; 11. Mining Intents; 12. Detecting Fake or Deceptive Opinions; 13. Quality of Reviews; 14. Conclusions.
£63.64
Cambridge University Press The Age of Algorithms
Book SynopsisAlgorithms have transformed our society, upsetting the concepts of work, property, government, even humanity. We rejoice that they make life easier, but fear that they will enslave us. Going beyond visions of good vs evil, this book takes a new look at our time, the age of algorithms. Algorithms will be what we want them to be: it's up to us.Trade Review'... written by two computer scientists offering a most accessible view on both what algorithms are (the book starts with a clearest analogy between algorithms and recipes) and how algorithms are severely changing human life.' Simona Chiodo, Metascience'This short and interesting book provides a non-technical introduction to the age of algorithms. The book is worth reading many times even by those unfamiliar with algorithms or computer science.' S.V. Nagaraj, The SIGACT NewsTable of Contents1. Algorithms intrigue, algorithms disturb; 2. What is an algorithm?; 3. Algorithms, computers, and programs; 4. What algorithms do; 5. What algorithms don't do; 6. Computational thinking; 7. The end of employment; 8. The end of work; 9. The end of property; 10. Governing in the age of algorithms; 11. An algorithm in the community; 12. The responsibility of algorithms; 13. Personal data and privacy; 14. Fairness, transparency, and diversity; 15. Computers and ecology; 16. Computer science education; 17. The augmented human; 18. Can an algorithm be intelligent?; 19. Can an algorithm have feelings? 20. Time to choose.
£19.05
John Wiley & Sons Inc Engineering Intelligent Systems
Book SynopsisEngineering Intelligent Systems Exploring the three key disciplines of intelligent systems As artificial intelligence (AI) and machine learning technology continue to develop and find new applications, advances in this field have generally been focused on the development of isolated software data analysis systems or of control systems for robots and other devices. By applying model-based systems engineering to AI, however, engineers can design complex systems that rely on AI-based components, resulting in larger, more complex intelligent systems that successfully integrate humans and AI. Engineering Intelligent Systems relies on Dr. Barclay R. Brown's 25 years of experience in software and systems engineering to propose an integrated perspective to the challenges and opportunities in the use of artificial intelligence to create better technological and business systems. While most recent research on the topic has focused on adapting and improving algorithTable of ContentsAcknowledgments xi Introduction xiii Part I Systems and Artificial Intelligence 1 1 Artificial Intelligence, Science Fiction, and Fear 3 1.1 The Danger of AI 3 1.2 The Human Analogy 5 1.3 The Systems Analogy 6 1.4 Killer Robots 7 1.5 Watching the Watchers 9 1.6 Cybersecurity in a World of Fallible Humans 12 1.7 Imagining Failure 17 1.8 The New Role of Data: The Green School Bus Problem 23 1.9 Data Requirements 25 1.9.1 Diversity 26 1.9.2 Augmentation 28 1.9.3 Distribution 29 1.9.4 Synthesis 30 1.10 The Data Lifecycle 31 1.11 AI Systems and People Systems 41 1.12 Making an AI as Safe as a Human 45 References 48 2 We Live in a World of Systems 49 2.1 What Is a System? 49 2.2 Natural Systems 51 2.3 Engineered Systems 53 2.4 Human Activity Systems 54 2.5 Systems as a Profession 54 2.5.1 Systems Engineering 54 2.5.2 Systems Science 55 2.5.3 Systems Thinking 55 2.6 A Biological Analogy 56 2.7 Emergent Behavior: What Makes a System, a System 56 2.8 Hierarchy in Systems 60 2.9 Systems Engineering 64 3 The Intelligence in the System: How Artificial Intelligence Really Works 71 3.1 What Is Artificial Intelligence? 71 3.1.1 Myth 1: AI SystemsWork Just Like the Brain Does 72 3.1.2 Myth 2: As Neural Networks Grow in Size and Speed, They Get Smarter 72 3.1.3 Myth 3: Solving a Hard or Complex Problem Shows That an AI Is Nearing Human Intelligence 73 3.2 Training the Deep Neural Network 75 3.3 Testing the Neural Network 76 3.4 Annie Learns to Identify Dogs 76 3.5 How Does a Neural NetworkWork? 80 3.6 Features: Latent and Otherwise 81 3.7 Recommending Movies 82 3.8 The One-Page Deep Neural Network 84 4 Intelligent Systems and the People they Love 97 4.1 Can Machines Think? 97 4.2 Human Intelligence vs. Computer Intelligence 98 4.3 The Chinese Room: Understanding, Intentionality, and Consciousness 99 4.4 Objections to the Chinese Room Argument 104 4.4.1 The Systems Reply to the CRA 104 4.4.2 The Robot Reply 104 4.4.3 The Brain Simulator Reply 105 4.5 Agreement on the CRA 107 4.5.1 Analyzing the Systems Reply: Can the Room Understand when Searle Does Not? 109 4.6 Implementation of the Chinese Room System 114 4.7 Is There a Chinese-Understanding Mind in the Room? 115 4.7.1 Searle and Block on Whether the Chinese Room Can Understand 116 4.8 Chinese Room: Simulator or an Artificial Mind? 118 4.8.1 Searle on Strong AI Motivations 120 4.8.2 Understanding and Simulation 121 4.9 The Mind of the Programmer 127 4.10 Conclusion 133 References 135 Part II Systems Engineering for Intelligent Systems 137 5 Designing Systems by Drawing Pictures and Telling Stories 139 5.1 Requirements and Stories 139 5.2 Stories and Pictures: A Better Way 141 5.3 How Systems Come to Be 141 5.4 The Paradox of Cost Avoidance 145 5.5 Communication and Creativity in Engineering 147 5.6 Seeing the Real Needs 148 5.7 Telling Stories 150 5.8 Bringing a Movie to Life 153 5.9 Telling System Stories and the Combination Pitch 157 5.10 The Combination Pitch 159 5.11 Stories in Time 160 5.12 Roles and Personas 161 6 Use Cases: The Superpower of Systems Engineering 165 6.1 The Main Purpose of Systems Engineering 165 6.2 Getting the Requirements Right: A Parable 166 6.2.1 A Parable of Systems Engineering 168 6.3 Building a Home: A Journey of Requirements and Design 170 6.4 Where Requirements Come From and a Koan 173 6.4.1 A Requirements Koan 177 6.5 The Magic of Use Cases 177 6.6 The Essence of a Use Case 181 6.7 Use Case vs. Functions: A Parable 184 6.8 Identifying Actors 186 6.8.1 Actors Are Outside the System 187 6.8.2 Actors Interact with the System 187 6.8.3 Actors Represent Roles 188 6.8.4 Finding the Real Actors 188 6.8.5 Identifying Nonhuman Actors 191 6.8.6 DoWe Have ALL the Actors? 193 6.9 Identifying Use Cases 193 6.10 Use Case Flows of Events 196 6.10.1 BalancingWork Up-Front with Speed 199 6.10.2 Use Case Flows and Scenarios 201 6.10.3 Writing Alternate Flows 202 6.10.4 Include and Extend with Use Cases 203 6.11 Examples of Use Cases 205 6.11.1 Example Use Case 1: Request Customer Service from Acme Library Support 205 6.11.2 Example Use Case 2: Ensure Network Stability 206 6.11.3 Example Use Case 3: Search for Boat in Inventory 206 6.12 Use Cases with Human Activity Systems 207 6.13 Use Cases as a Superpower 208 References 208 7 Picturing Systems with Model Based Systems Engineering 209 7.1 How Humans Build Things 209 7.2 C: Context 212 7.2.1 Actors for the VX 213 7.2.2 Actors for the Home System 216 7.3 U: Usage 217 7.4 S: States and Modes 221 7.5 T: Timing 224 7.6 A: Architecture 225 7.7 R: Realization 230 7.8 D: Decomposition 234 7.9 Conclusion 238 8 A Time for Timeboxes and the Use of Usage Processes 239 8.1 Problems in Time Modeling: Concurrency, False Precision, and Uncertainty 240 8.1.1 Concurrency 240 8.1.2 False Precision 240 8.1.3 Uncertainty 241 8.2 Processes and Use Cases 242 8.3 Modeling: Two Paradigms 243 8.3.1 The Key Observation 244 8.3.2 Source of the Problem 246 8.4 Process and System Paradigms 247 8.5 A Closer Examination of Time 248 8.6 The Need for a New Approach 251 8.7 The Timebox 252 8.8 Timeboxes with Timelines 257 8.8.1 Thinking in Timeboxes 257 8.9 The Usage Process 258 8.10 Pilot Project Examples 262 8.10.1 Pilot Project: The Hunt for Red October 262 8.10.2 Pilot Project: FAA 265 8.10.3 Pilot Project: IBM Agile Process 267 8.11 Summary: A New Paradigm Modeling Approach 269 8.11.1 The Impact of New Paradigm Models 270 8.11.2 The Future of New Paradigm Models 271 References 272 Part III Systems Thinking for Intelligent Systems 275 9 Solving Hard Problems with Systems Thinking 277 9.1 Human Activity Systems and Systems Thinking 277 9.2 The Central Insight of Systems Thinking 279 9.3 Solving Problems with Systems Thinking 281 9.3.1 Identify a Problem 281 9.3.2 Find the Real Problem 282 9.3.3 Identify the System 284 9.4 Understanding the System 285 9.4.1 Rocks Are Hard 288 9.4.2 Heart and Soul 290 9.4.3 Confusing Cause and Effect 292 9.4.4 Logical Fallacies 296 9.5 System Archetypes 298 9.5.1 Tragedy of the Commons 299 9.5.2 The Rich Get Richer 300 9.6 Intervening in a System 302 9.7 Testing Implementing Intervention Incrementally 315 9.8 Systems Thinking and theWorld 316 10 People Systems: A New Way to Understand the World 317 10.1 Reviewing Types of Systems 317 10.2 People Systems 318 10.3 People Systems and Psychology 320 10.4 Endowment Effect 323 10.5 Anchoring 324 10.6 Functional Architecture of a Person 325 10.7 Example: The Problem of Pollution 327 10.8 Speech Acts 332 10.8.1 People System Archetypes 337 10.8.1.1 Demand Slowing 339 10.8.1.2 Customer Service 340 10.9 Seeking Quality 341 10.10 Job Hunting as a People System 344 10.10.1 Who Are You? 345 10.10.2 What Do You Want to Do? 345 10.10.3 For Whom? 347 10.10.4 Pick a Few 348 10.10.5 Go Straight to the Hiring Manager 349 10.10.6 Follow Through 351 10.10.7 Broaden Your View 352 10.10.8 Step Two 352 10.11 Shared Service Monopolies 354 References 356 Index 357
£92.70
