Artificial intelligence (AI) Books

Book SynopsisLiving with Robots recounts a foundational shift in robotics, from artificial intelligence to artificial empathy, and foreshadows an inflection point in human evolution. As robots engage with people in socially meaningful ways, social robotics probes the nature of the human emotions that social robots are designed to emulate.Trade ReviewOffers insight into problems raised by advances in robotics and artificial intelligence that will be faced by future societies. Throughout the book, the authors provide a conceptual framework for thinking about possible scenarios of human–robot interactions, most extensively with regard to our relationships with social robots… Living with Robots will meet various expectations, uniting the intellectual depth of a carefully documented academic treatise with the pleasure of a casual page-turner. Those in search of cultural erudition are provided with myriad references to books and movies, and those with a taste for technical novelty are treated to fascinating descriptions of the most hi-tech social robots. -- Paula Quinon * Science *A thoughtful and engaging discussion about an emerging area in applied ethics—social robotics… A timely and well-written volume that addresses many contemporary and future moral questions regarding how we treat artificial intelligence. -- William Simkulet * Library Journal *A very substantial philosophical study. * Philosophie Magazine *One should not lose sight of the prospective and speculative aspect of the research and ideas of Dumouchel and Damiano. But their work is nevertheless remarkably profound and intelligent, and it provides us, as do all serious inquiries into robotics, with a better understanding of ourselves, especially the social aspect of our minds. Even if one might doubt that social robots could ever decipher the incredible complexity of our feelings and adapt to them, this project nevertheless represents a fascinating step, less in robotics itself than in the quest for the human mind to understand itself. * Le Temps *Living with Robots is a convincing reflection on the increasing presence of robots in society. Designed to operate in an environment shaped and occupied by humans, robots are the new actors in a technical, social, and cultural transformation. The book offers a distinctive and fruitful approach to social robotics through different theoretical frameworks, analyzing the implications of interactions between humans and robots, between humans via robots, and between robots themselves. -- Zaven Paré, Rio de Janeiro State UniversityLiving with Robots is a timely and fascinating examination of social robots that exist in the real world, have bodies, and interact with human beings. While addressing the practical functions of social robots, at its heart the book is deeply philosophical. The authors invite us to reflect on the nature of human beings, mind, and sociability, as well as the human–robot dynamics of emotional relationships. This gives rise to novel and important engagement with moral and political questions, from quality of life to military applications. -- Takanori Shibata, National Institute of Advanced Industrial Science and Technology[Dumouchel and Damiano’s] book takes us on a detailed tour of the philosophy of artificial intelligence (AI)—especially as it applies to robots intended to build social relationships with humanity. This is a work of serious scholarship, with arguments about identity, authority, autonomy and what is termed ‘artificial empathy’ presented with reference to a range of example systems. Kant, Descartes, Hobbes and other philosophical heavyweights get the exposure you might expect, but when set alongside the views of such disparate players as psychologist Jean Piaget and science-fiction writer Algis Budrys the analysis offers considerable breadth…If we are to build a robust, appropriate ethical structure around the next generation of technical development—some combination of deep learning, artificial intelligence, robotics and artificial empathy—we need to understand that managing the impact of these technologies is far too important to be left to those who are enthusiastically engaged in producing them. This book is both a comprehensive, engaging review of philosophical thought and a warning to anyone who thinks that the integration of robotics into our society is about technology alone. -- John Gilbey * Times Higher Education *

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Book SynopsisTrade Review"One of The Guardian’s Favourite Reads of 2017 as chosen by scientists"

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Book SynopsisAn exploration of the relationship between Marxist theory and Artificial Intelligence.Trade Review'Indispensable reading for all those who want to understand the relationship between artificial intelligence and capitalism' -- Christian Fuchs, author of 'Digital Demagogue: Authoritarian Capitalism in the Age of Trump and Twitter''A radical and provocative reading. The authors' criticisms of left accelerationism are timely and persuasive, their conclusion is bracing but necessary.' -- Sarah Kember, author of 'iMedia: The Gendering of Objects, Environments and Smart Materials''A fascinating and pioneering work that deploys Marx to understand contemporary AI capitalism. An exemplary contribution to understanding how machine learning is changing our world and transforming communist strategy' -- Nick Srnicek, author of 'Platform Capitalism''A disturbing but essential addition to the rapidly growing literature on the risks posed by capitalist-conceived AI' -- Morning StarTable of ContentsSeries Preface Acknowledgements Introduction: AI-Capital 1. Means of Cognition 2. Automating the Social Factory 3. Perfect Machines, Inhuman Labour Conclusion: Communist AI Notes Bibliography Index

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Book SynopsisAn exploration of the relationship between Marxist theory and Artificial Intelligence.Trade Review'Indispensable reading for all those who want to understand the relationship between artificial intelligence and capitalism' -- Christian Fuchs, author of 'Digital Demagogue: Authoritarian Capitalism in the Age of Trump and Twitter''A radical and provocative reading. The authors' criticisms of left accelerationism are timely and persuasive, their conclusion is bracing but necessary.' -- Sarah Kember, author of 'iMedia: The Gendering of Objects, Environments and Smart Materials''A fascinating and pioneering work that deploys Marx to understand contemporary AI capitalism. An exemplary contribution to understanding how machine learning is changing our world and transforming communist strategy' -- Nick Srnicek, author of 'Platform Capitalism''A disturbing but essential addition to the rapidly growing literature on the risks posed by capitalist-conceived AI' -- Morning StarTable of ContentsSeries Preface Acknowledgements Introduction: AI-Capital 1. Means of Cognition 2. Automating the Social Factory 3. Perfect Machines, Inhuman Labour Conclusion: Communist AI Notes Bibliography Index

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Book SynopsisCould a computer have a mind? What kind of machine would this be? Exactly what do we mean by ''mind'' anyway?The notion of the ''intelligent'' machine, whilst continuing to feature in numerous entertaining and frightening fictions, has also been the focus of a serious and dedicated research tradition. Reflecting on these fictions, and on the research tradition that pursues ''Artificial Intelligence'', raises a number of vexing philosophical issues. Minds and Computers introduces readers to these issues by offering an engaging, coherent, and highly approachable interdisciplinary introduction to the Philosophy of Artificial Intelligence.Readers are presented with introductory material from each of the disciplines which constitute Cognitive Science: Philosophy, Neuroscience, Psychology, Computer Science, and Linguistics. Throughout, readers are encouraged to consider the implications of this disparate and wide-ranging material for the possibility of developing machines with minds. And they can expect to de

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Book SynopsisDaniel Newman is Principal Analyst of Futurum Research and the CEO of Broadsuite Media Group. Living his life at the intersection of people and technology, Newman works with large technology brands exploring digital transformation and how it influences our world. A five-times best-selling author, he is a Forbes, Entrepreneur and Huffington Post contributor.Olivier Blanchard draws from his extensive experience managing product innovation, technology adoption, digital integration and change management for industry leaders in a variety of sectors to help decision makers, and their organizations, understand the many risks and opportunities of technology-driven disruption and leverage innovation.Table of Contents Chapter - 01: A short history of human–machine partnerships; Chapter - 02: The state of human–machine partnerships; Chapter - 03: Framing expectations for the next age of human–machine partnerships; Chapter - 04: How businesses should prepare for the next age of human–machine partnerships; Chapter - 05: How workers should prepare for the next age of human–machine partnerships; Chapter - 06: How educational institutions should prepare for the next age of human–machine partnerships; Chapter - 07: How consumers should prepare for the next age of human–machine partnerships; Chapter - 08: How technology companies should prepare for the next age of human–machine partnerships; Chapter - 09: The future of human–machine partnerships - putting it all together;

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Book SynopsisA Financial Times and Economist Book of the Year''Wonderfully stimulating... will teach you to see around corners'' - TIM HARFORD''A paean to cognitive agility and the elasticity of the imagination'' - ECONOMIST''Captivating... will transform the way you think'' MARISSA KING, PROFESSOR AT YALE SCHOOL OF MANAGEMENTThe power of mental models to make better decisionsWe''re often told that humans make bad decisions and that more data is better. But this is backwards: people are good at decisions precisely because we use mental models and can envision new realities outside of data. Great outcomes don''t depend so much on the final moment of choosing but on generating better alternatives to choose between. That''s framing. It''s a cognitive muscle we can strengthen to improve our lives, work and future -- to meet this historical moment. Framers shows how.Trade ReviewA tightly written prescription for smart thinking... A bold call to reinject pluralism and progressive human values into a decision-making process dominated by algorithms or gut instinct * Financial Times -- 2021 Summer Books List *A simply wonderful reimagining of human ingenuity. It will teach you to see around corners * Tim Harford, bestselling author of How To Make The World Add Up *Reveals how you can recognize the lenses that you're applying ... an important read -- a steady hand for our turbulent times * Adam Grant, #1 New York Times bestselling author of THINK AGAIN *A fascinating look at what makes humans special and how people can improve the way they think to stay ahead of the machines * Mustafa Suleyman, Co-founder of DeepMind, Vice-President of Google *A paean to cognitive agility and the elasticity of the imagination * The Economist *Packed with big ideas, great stories, values and verve that make it a delight to read. It will certainly change how you think-and might just change the world too * Annie Duke, best-selling author of THINKING IN BETS and former poker champion *A great book filled with fresh perspectives to help us out during the rise of AI so we can usher in the Age of Humanity * will.i.am, musician and entrepreneur *A captivating read... Framers will transform the way you think * Marissa King, Professor at Yale School of Management *Brilliantly shows that mental models are at the heart of creativity, critical thinking and innovation, and how we can get better at it to solve our toughest business and social challenges * Aaron Levie, CEO of Box *Provides insight into how we can all nurture more of a beginner's mind and manifest breakthrough ideas for building a better future * Marc Benioff, chairman and CEO, Salesforce *An appealing pop-science guide to creativity [and] an astute analysis of problem-solving * Kirkus Reviews *Humans today live a much easier, more comfortable, and more pleasant existence than ever before, but we also face our greatest existential challenges as a species, and in order to survive we will need not only cooperation, but a new and diverse set of cognitive frames ... [this book] teaches us how to better frame things for ourselves as individuals * Porchlight BOOK TO WATCH *

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Book SynopsisThe result of the selection of papers presented at a special session entitled 'Applications of Artificial Intelligence in Economics and Finance' at the '2003 International Conference on Artificial Intelligence'. This volume will appeal to economists interested in adopting an interdisciplinary approach to the study of economic problems.Table of Contents1. Statistical analysis of genetic algorithms in discovering technical trading strategies (S.H. Chen, C.Y. Tsao). 2. A genetic programming approach to model international short-term capital flow (T. Yu, S.H. Chen, T.W. Kuo). 3. Tools for non-linear time series forecasting in economics: An empirical comparison of regime switching vector autoregressive models and recurrent neural networks (J.M. Binner, T. Elger, B. Nilsson, J.A. Tepper). 4. Using non-parametric search algorithms to forecast daily excess stock returns (N.L. Joseph, D.S. Bree, E. Kalyvas). 5. Co-evolving neural networks with evolutionary strategies: A new application to Divisia Money (J. Binner, G. Kendall, A. Gazely). 6. Forecasting the EMU inflation rate: Linear econometric versus non-linear computational models using genetic neural fuzzy systems (S. Kooths, T. Mitze, E. Ringhut). 7. Finding or not finding rules in time series (J. Lin, E. Keogh). 8. A comparison of VAR and neural networks with genetic algorithm in forecasting price of oil (S. Mirmirani, H.C. Li). 9. Searching for Divisia/Inflation Relationships with the aggregate feed forward neural network (V.A. Schmidt, J.M. Binner). 10. Predicting housing value: Genetic algorithm attribute selection and dependence modelling utilising the gamma test (I.D. Wilson, A. J. Jones, D.H. Jenkins, J.A. Ware).

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Book SynopsisUsing examples drawn from biomedicine and biomedical engineering, this essential reference book brings you comprehensive coverage of all the major techniques currently available to build computer-assisted decision support systems. You will find practical solutions for biomedicine based on current theory and applications of neural networks, artificial intelligence, and other methods for the development of decision aids, including hybrid systems. Neural Networks and Artificial Intelligence for Biomedical Engineering offers students and scientists of biomedical engineering, biomedical informatics, and medical artificial intelligence a deeper understanding of the powerful techniques now in use with a wide range of biomedical applications. Highlighted topics include: Types of neural networks and neural network algorithms Knowledge representation, knowledge acquisition, and reasoning methodologies Chaotic analysis of biomedical time series Table of ContentsPreface. Acknowledgments. Overview. NEURAL NETWORKS. Foundations of Neural Networks. Classes of Neural Networks. Classification Networks and Learning. Supervised Learning. Unsupervised Learning. Design Issues. Comparative Analysis. Validation and Evaluation. ARTIFICIAL INTELLIGENCE. Foundation of Computer-Assisted Decision Making. Knowledge Representation. Knowledge Acquisition. Reasoning Methodologies. Validation and Evaluation. ALTERNATIVE APPROACHES. Genetic Algorithms. Probabilistic Systems. Fuzzy Systems. Hybrid Systems. HyperMerge, a Hybird Expert System. Future Perspectives. Index. About the Authors.

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Book SynopsisDetailed treatments of particular NFRs - accuracy, security and performance requirements - along with treatments of NFRs for information systems are presented as specializations of the NFR Framework.Table of ContentsList of Figures. List of Tables. Legend for Figures. Preface. 1. Introduction. Part I: The NFR Framework. 2. The NFR Framework in Action. 3. Softgoal Interdependency Graphs. 4. Cataloguing Refinement Methods and Correlations. Part II: Types of Non-Functional Requirements. 5. Types of NFRs. 6. Accuracy Requirements. 7. Security Requirements. 8. Performance Requirements. 9. Performance Requirements for Information Systems. Part III. Case Studies and Applications. 10. Introduction to the Studies and Applications. 11. A Credit Card System. 12. An Administrative System. 13. Application to Software Architecture. 14. Enterprise Modelling and Business Process Redesign. 15. Assessment of Studies. Postscript. Bibliography.

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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.

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Book SynopsisFew scientific topics since the theory of biological evolution have inspired as much controversy as artificial intelligence has. Even now, fifty years after the term first made its appearance in academic journals, many philosophers and more than a few prominent scientists and software programmers dismiss the pursuit of thinking machines as the modern-day equivalent of medieval alchemists’ hunt for the philosopher’s stone-a pursuit based more on faith than on skeptical inquiry.In Arguing A.I., journalist Sam Williams charts both the history of artificial intelligence from its scientific and philosophical roots and the history of the A.I. debate. He examines how and why the tenor of the debate has changed over the last half-decade in particular, as scientists are struggling to take into account the latest breakthroughs in computer science, information technology, and human biology. For every voice predicting machines like 2001’s HAL within the next twenty

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Book SynopsisAddresses emerging biotechnologies with prodigious potential to benefit humankind but that are also fraught with ethical consequences. James Bradley guides discussions of the thorny issues resulting from the development of new biotechnologies. He also highlights the responsibilities of scientists to conduct research in an ethical manner.Trade Review“Building further on his remarkable scholarly work, James Bradley once again observes and dissects modern science and modern life in ways that challenge any kind of reader: student, scholar, research scientist, and most especially political decision makers. His interdisciplinary approach to studying the implications of biotechnology is the most accessible and useful, yet profound, of any academic work in this vast field. With characteristic good humor and patience, he confronts the fundamental issues within not only life sciences but moral and political philosophy as well. This is a necessary, although uncomfortable, wake-up call for humankind generally." - Timothy P. Terrel, Emory University School of Law and author of The Dimensions of Legal Reasoning: Developing Analytical Acuity from Law School to Law PracticeTable of Contents Abbreviations and Acronyms Preface Acknowledgments Chapter 1: Cells, Molecules, Genes, and Nature Chapter 2: Embryos, Stem Cells, Genetic Enhancement, Genomics, and Synthetic Biology Chapter 3: Genetically Engineered Organisms Chapter 4: CRISPR and Life's Future Chapter 5: Nanotechnology, Life, and Nanoethics Chapter 6: Brains, Minds, and Neuroethics Chapter 7: Robots and Roboethics Chapter 8: Responsibilities and Living Well with Modern Biotechnologies Chapter 9: The Urgency of Now Appendix 1: The Central Dogma of Biology, CRISPR, and Gene Drive Appendix 2: Tools for Neuroscience and Clinical Neurology Appendix 3: Sources of Scientific Information for Non-Scientists References Index

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Book SynopsisArgues that the near future of library work will be enormously impacted and perhaps forever changed as a result of artificial intelligence (AI) and machine learning systems becoming commonplace. Essays cover both essays theory and predictions of the future of these systems in libraries.Table of Contents Chapter 1 Introduction Chapter 2 HAMLET: Neural-Net-Powered Prototypes for Library Discovery Chapter 3 AI and Creating the First Multidisciplinary AI Lab Chapter 4 An Exploration of Machine Learning in Libraries Chapter 5 Conclusion Chapter 6 Sources Consulted

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Book SynopsisWith artificial intelligence on the rise, the way we run our organisations will changeand drastically. But what exactly will that future look like? And who will take the leading role: machines or people?In this compelling new book, leading management guru David De Cremer identifies the key areas where algorithms will collide with human skills, and assesses the likely outcomes.Will your next boss be a robot? Can an AI boss display the human qualities that define a good leader: compassion, empathy, imagination, ethics, and strategic awareness?Drawing on his own research findings, and those from thought leaders around the world, the author presents fascinating insights into the challenges that an automated work environment poses for organisations of the future.Leadership by Algorithm offers some startling conclusions that make clear the true nature of the power struggle between man and machine. It also identifies the leadership qualities needed to deal with this struggle most effectively.

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Book SynopsisAI is changing the world at frightening speed. A bestselling author decides to find out more…Trade Review‘There’s no book like it. Scholarly, childish, fascinating and hilarious – one of our funniest writers dissects what it takes to build a story and what that tells us about being human. It’ll really make you think, if you can stop laughing.’ —Chris Addison, co-creator of Breeders'Entertaining and alarmingly relevant, provocative and philosophically satisfying, it’s ultimately a profoundly human text.'—Observer‘A magnificent experiment by a perfect fool – deep and shallow and stupid and clever – the perfect use of AI (Andy Intelligence).’ —Robin Ince, author of The Importance of Being Interested‘In detailing his hysterical efforts to get ChatGPT to write a masterpiece, Stanton offers real insight into how it works or, well, doesn’t.’ —New Scientist'It's sometimes hard not to feel sorry for the priggish chatbot as Stanton deploys all his impish (some might say puerile) irreverence to goad the programme... Ultimately, however it is there, in Stanton's footnotes that the real genius of the book is found. For all the hilarity and absurdity, it asks profound questions about the relationship between humans and machines... you'll be hooked on the conundrum that is AI. There really is no turning back.' —Perspective'Benny the Blue Whale is many things. It’s a fascinating discourse on the nature of language and storytelling. It’s a philosophical treatise on the possibilities of artificial intelligence. It’s a receptacle for obscenely hilarious jokes, and the abstruse and arcane learning that fills Stanton’s brain... A brilliant and beautiful cyborg: part human brain, part computational muscle. It’s a post-post-modern work of genius.' —Anthony McGowan, Carnegie Medal-winning author of Lark‘A funny and surprising creative battle between man and machine.’ —The Bookseller‘The real draw, though, is Stanton’s breakdown of ChatGPT’s craft… The irreverent tone buoys a surprisingly thoughtful exploration of how AI might aid artists, and the ways in which it comes up short against its human competitors. This fascinates.’ —Publishers Weekly

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Book SynopsisTable of Contents1. Introduction; 2. The basic theory of memory structures; 3. Equivalence relations; 4. A plethora of simple examples; 5. The effectiveness theorems; 6. Fragments of lisp; 7. Derivations and transformations; 8. The Robson marking algorithm and applications; 9. Programs as data and the eval function; 10. Editing data efficiently; 11. Conclusions; Bibliography.

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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.

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Book SynopsisIn the era of far-reaching technological innovation, from artificial intelligence to Big Data, it is possible that there will be conscious machines in our lifetime. This book establishes a foundation for the philosophy of technology and investigates how the digital age might alter our most basic political practices and ideas.Trade Review'Human beings are unprepared for the consequences of artificial intelligence and big data analysis - consequences for human rights, democratic government, public spheres, distributive justice, individual dignity, pursuit of meaningful human lives, and the moral status of potentially self-guided artificial intelligence itself. Drawing on a range of political theories and welcome common sense, Mathias Risse briskly frames the agenda to prepare for a world of 'deepfakes,' surveillance capitalism, and machines that alter human lives while operating without human supervision. Especially helpful in challenging assumptions such as that those who gather our data also own it, this book points the way toward preserving both individual and social lives of meaning and deliberate choices.' Martha Minow, Harvard Law School'In this outstanding book, Harvard's Mathias Risse explores hitherto uncharted terrain of political theory. The liberal-egalitarian tradition, with Rawls as its central figure, has by and large ignored the political nature of technology, thus condemning itself to irrelevance with regard to one of the most pressing political questions of our time: How will digital technology affect human life in the decades to come? [Without appropriate political steps, it is imaginable that humanity will not survive the further development of artificial intelligence. So we, ordinary citizens of the world, had better pay close attention.] Starting from the Rawlsian idea of public reason, Risse's explorative study draws on intellectual traditions ranging from Marxism to science and technology studies in order to toughen up liberal-egalitarian philosophy for the challenge. I hope this well-written book will find a broad readership and inspire much- needed work on this topic of topics.' Michael Schefczyk, Karlsruhe Institute of Technology'Risse could not be more right that we need to do political theory for a digital age, to come to grips with the political dimensions of our social lives as the very notion of social life is transformed by advances in AI in both the near and far terms. Weaving together insights from the philosophy of technology, rights theory, science and technology studies, and traditional political theory and political philosophy, Risse reveals both the depth of challenges we face across a spectrum of issues in the immediate and distant future, and the promise of a reconfigured political theory for resolving them. The breadth and care that Risse takes with both the technological possibilities and the philosophical and political foundations is remarkable. This is a must-read!' John Basl, Northeastern UniversityTable of Contents1. Introduction: digital lifeworlds in human history; 2. Learning from the Amish: political philosophy as philosophy of technology in the digital century; 3. Artificial intelligence and the past, present, and future of democracy; 4. Truth will not set you free: is there a right to it anyway? Elaborating on the work public reason does in life 2.0; 5. Knowing and being known: investigating epistemic entitlements in digital lifeworlds; 6. Beyond porn and discreditation: epistemic promises and perils of deepfake technology; 7. The fourth generation of human rights: epistemic rights in life 2.0 and life 3.0; 8. On surveillance capitalism, instrumentarian power, and social physics: securing the enlightenment for digital lifeworlds; 9. Data as social facts: distributive justice meets big data; 10. God, Golem, and gadget worshippers: meaning of life in the digital age; 11. Moral status and political membership: toward a political theory for life 3.0; Epilogue.

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Book SynopsisThis book is designed to provide in-depth knowledge on how search plays a fundamental role in problem solving. Meant for undergraduate and graduate students pursuing courses in computer science and artificial intelligence, it covers a wide spectrum of search methods. Readers will be able to begin with simple approaches and gradually progress to more complex algorithms applied to a variety of problems. It demonstrates that search is all pervasive in artificial intelligence and equips the reader with the relevant skills. The text starts with an introduction to intelligent agents and search spaces. Basic search algorithms like depth first search and breadth first search are the starting points. Then, it proceeds to discuss heuristic search algorithms, stochastic local search, algorithm A*, and problem decomposition. It also examines how search is used in playing board games, deduction in logic and automated planning. The book concludes with a coverage on constraint satisfaction.

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