Artificial intelligence (AI) Books

Book SynopsisDas Buch gibt Entwicklern einen Leitfaden zur nutzergerechten Gestaltung von Mensch-Maschine-Systemen an die Hand. Dabei werden die besonderen Gestaltungsprobleme von Useware-Systemen für internationale Märkte ebenso behandelt wie die Auswahl von Entwicklungstools, Normen und Richtlinien sowie grundlegende Gestaltungsregeln. Wichtige Neuerungen, etwa die modellbasierte Entwicklung von Benutzungsschnittstellen oder zukünftige Interaktionsformen, werden in der Neuauflage anhand von Gestaltungsbeispielen vorgestellt.Table of ContentsEinführung.- Der Mensch und seine Fähigkeiten.- Vorgehensweise bei der Useware-Entwicklung.- Useware-Systeme für internationale Märkte.- Hilfsmittel bei der Useware-Entwicklung.- Grundlegende Prinzipien und Interaktionstechniken.- Zukünftige Interaktionstechniken.- Literatur.- Sachverzeichnis.

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Book SynopsisWith the proliferation of huge amounts of (heterogeneous) data on the Web, the importance of information retrieval (IR) has grown considerably over the last few years. Big players in the computer industry, such as Google, Microsoft and Yahoo!, are the primary contributors of technology for fast access to Web-based information; and searching capabilities are now integrated into most information systems, ranging from business management software and customer relationship systems to social networks and mobile phone applications.Ceri and his co-authors aim at taking their readers from the foundations of modern information retrieval to the most advanced challenges of Web IR. To this end, their book is divided into three parts. The first part addresses the principles of IR and provides a systematic and compact description of basic information retrieval techniques (including binary, vector space and probabilistic models as well as natural language search processing) before focusing on its application to the Web. Part two addresses the foundational aspects of Web IR by discussing the general architecture of search engines (with a focus on the crawling and indexing processes), describing link analysis methods (specifically Page Rank and HITS), addressing recommendation and diversification, and finally presenting advertising in search (the main source of revenues for search engines). The third and final part describes advanced aspects of Web search, each chapter providing a self-contained, up-to-date survey on current Web research directions. Topics in this part include meta-search and multi-domain search, semantic search, search in the context of multimedia data, and crowd search.The book is ideally suited to courses on information retrieval, as it covers all Web-independent foundational aspects. Its presentation is self-contained and does not require prior background knowledge. It can also be used in the context of classic courses on data management, allowing the instructor to cover both structured and unstructured data in various formats. Its classroom use is facilitated by a set of slides, which can be downloaded from www.search-computing.org.Trade ReviewFrom the reviews:“The book covers not only a wide range, but everything that is essential to the topic of Web information retrieval. … this book is an excellent starting point into the field of Web information retrieval, and can be recommended for classroom use.” (Gottfried Vossen, zbMATH, Vol. 1283, 2014)“... this book is a valuable resource for students and instructors in web IR, primarily as a reference to supplement course teaching. Researchers and practitioners should find the book a useful quick reference guide for key concepts, techniques, and recent trends in web IR.” (Wingyan Chung, ACM Computing Reviews, July 2014)Table of ContentsPart I Principles of Information Retrieval.- An Introduction to Information Retrieval.- The Information Retrieval Process.- Information Retrieval Models.- Classification and Clustering.- Natural Language Processing for Search.- Part II Information Retrieval for the Web.- Search Engines.- Link Analysis.- Recommendation and Diversification for the Web.- Advertising in Search.- Part III Advanced Aspects of Web Search.- Publishing Data on the Web.- Meta-Search and Multi-Domain Search.- Semantic Search.- Multimedia Search.- Search Process and Interfaces.- Human Computation and Crowd Search.

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Book SynopsisWith the proliferation of huge amounts of (heterogeneous) data on the Web, the importance of information retrieval (IR) has grown considerably over the last few years. Big players in the computer industry, such as Google, Microsoft and Yahoo!, are the primary contributors of technology for fast access to Web-based information; and searching capabilities are now integrated into most information systems, ranging from business management software and customer relationship systems to social networks and mobile phone applications.Ceri and his co-authors aim at taking their readers from the foundations of modern information retrieval to the most advanced challenges of Web IR. To this end, their book is divided into three parts. The first part addresses the principles of IR and provides a systematic and compact description of basic information retrieval techniques (including binary, vector space and probabilistic models as well as natural language search processing) before focusing on its application to the Web. Part two addresses the foundational aspects of Web IR by discussing the general architecture of search engines (with a focus on the crawling and indexing processes), describing link analysis methods (specifically Page Rank and HITS), addressing recommendation and diversification, and finally presenting advertising in search (the main source of revenues for search engines). The third and final part describes advanced aspects of Web search, each chapter providing a self-contained, up-to-date survey on current Web research directions. Topics in this part include meta-search and multi-domain search, semantic search, search in the context of multimedia data, and crowd search.The book is ideally suited to courses on information retrieval, as it covers all Web-independent foundational aspects. Its presentation is self-contained and does not require prior background knowledge. It can also be used in the context of classic courses on data management, allowing the instructor to cover both structured and unstructured data in various formats. Its classroom use is facilitated by a set of slides, which can be downloaded from www.search-computing.org.Trade ReviewFrom the reviews:“The book covers not only a wide range, but everything that is essential to the topic of Web information retrieval. … this book is an excellent starting point into the field of Web information retrieval, and can be recommended for classroom use.” (Gottfried Vossen, zbMATH, Vol. 1283, 2014)“... this book is a valuable resource for students and instructors in web IR, primarily as a reference to supplement course teaching. Researchers and practitioners should find the book a useful quick reference guide for key concepts, techniques, and recent trends in web IR.” (Wingyan Chung, ACM Computing Reviews, July 2014)Table of ContentsPart I Principles of Information Retrieval.- An Introduction to Information Retrieval.- The Information Retrieval Process.- Information Retrieval Models.- Classification and Clustering.- Natural Language Processing for Search.- Part II Information Retrieval for the Web.- Search Engines.- Link Analysis.- Recommendation and Diversification for the Web.- Advertising in Search.- Part III Advanced Aspects of Web Search.- Publishing Data on the Web.- Meta-Search and Multi-Domain Search.- Semantic Search.- Multimedia Search.- Search Process and Interfaces.- Human Computation and Crowd Search.

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Book SynopsisThis is the first volume of a unique collection that brings together the best English-language problems created for students competing in the Computational Linguistics Olympiad. These problems are representative of the diverse areas presented in the competition and designed with three principles in mind:· To challenge the student analytically, without requiring any explicit knowledge or experience in linguistics or computer science;· To expose the student to the different kinds of reasoning required when encountering a new phenomenon in a language, both as a theoretical topic and as an applied problem;· To foster the natural curiosity students have about the workings of their own language, as well as to introduce them to the beauty and structure of other languages;· To learn about the models and techniques used by computers to understand human language.Aside from being a fun intellectual challenge, the Olympiad mimics the skills used by researchers and scholars in the field of computational linguistics.In an increasingly global economy where businesses operate across borders and languages, having a strong pool of computational linguists is a competitive advantage, and an important component to both security and growth in the 21st century.This collection of problems is a wonderful general introduction to the field of linguistics through the analytic problem solving technique."A fantastic collection of problems for anyone who is curious about how human language works! These books take serious scientific questions and present them in a fun, accessible way. Readers exercise their logical thinking capabilities while learning about a wide range of human languages, linguistic phenomena, and computational models. " - Kevin Knight, USC Information Sciences Institute Trade ReviewFrom the reviews:“This book presents 56 problems, with solutions, created for high school students competing in a computational linguistics olympiad. … The interesting, elegant, and very diverse problems are fun to read and solve, and may be enjoyed not only by high school students, but also by current, future, or potential system thinkers, including programmers, analysts, or linguists.” (H. I. Kilov, Computing Reviews, April, 2014)Table of ContentsForeword by James Pustejovsky.- Preface.- Volume 1 Problems.- Volume 1. Solutions.- Index of Languages.- Index of Computational Topics.- Index of Other Topics.- About the Editor.

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Book SynopsisFür jeden von uns ist heute die Frage wichtig, wie in Zukunft Menschen und Maschinen zum Wohle des Menschen zusammenarbeiten und welche Anforderungen an Menschen hierbei entstehen. Dieses essential bietet für Interessierte den Einstieg. Wenn wir die Entwicklung in geeignete Bahnen lenken, dürfen wir dieser auch gespannt entgegensehen: Dann wirken – verbunden mit KI – Achtsamkeit, Anstrengung, Aufklärung, Anleitung und auch ein Stück weit Abenteuer im positiven Sinne zusammen.Table of ContentsGrundlagen zu Digitalisierung, Vernetzung und KI.- Anwendungsfelder und Herausforderungen beim Einsatz von KI.- Kompetenzanforderungen.

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Book SynopsisIn ten years, we will take working with artificial intelligence (AI) more for granted than using cell phones today. 78 recognized experts from practice and research provide deep insights and outlooks regarding the influence of AI on everyday working life in 2030, explaining with practical tips how you can prepare for this development.The 41 concise articles cover a broad spectrum in the area examined in each case. Thanks to a standardized structure, they include a summary of the status quo, concrete examples, future expectations, an overview of challenges and possible solutions, and practical tips.The volume begins with societal and ethical issues before discussing legal considerations for employers and HR professionals, as well as the administration of justice. The other chapters examine the impact of AI on the world of work in 2030 in the sectors of business, industry, mobility and logistics, medicine and pharmaceuticals, and (further) education.Table of ContentsThe specter of German Angst: Are we too skeptical for AI development?.- Practice Guide AI = Collaborative and Interdisciplinary.- Future Collaboration between Humans and Artificial Intelligence.- Innovation and Startups.Artificial Intelligence Demands Corporate Digital Responsibility.- AI Ethics and Neuroethics Advance Relational AI Discourse.- Digital Product Monitoring Obligations for Smart Products.- The Use of AI-Based Speech Analysis in the Job Application Process.- Individual Legal Issues in the Use of AI.AI in the Enterprise: Is the employer liable or the AI as an e-person?.- The works council's right of co-determination under Section 87 (1) No. 6 BetrVG in the use of AI systems in the company.- Data protection law assessment of predictive policing in the employment relationship.- Legal requirements for AI decisions in administration and the judiciary.- Intelligent IT systems in the company.- Successful implementation of AI in the enterprise.- Responsible and robust AI in enterprises.- AI as a driver of hybrid forms of employment.- The future of financial planning in enterprises.- Potentials of AI for production.- The grassroots movement of artificial intelligence.- Employment effects emanating from AI and the changes in work organization.- : Opportunities of AI for work design in the manufacturing industry.- The role of humans in the context of sovereign data spaces.AI in the skilled trades.- Potentials in the field of mobility through mathematical methods of artificial intelligence.- How AI enables business models and gives rise to job profiles.- Industrial AI - Smart Factories and Team Robotic .AI in the automotive industry.AI in the rail sector.AI as an opportunity for the future airline business.AI in intralogistics.Through AI, medicine becomes more efficient, individualized and preventive.- : AI in the clinical treatment pathway.- To make medicine that no human has ever seen before.AI in the healthcare market.- Data-based innovations in the healthcare sector and strategic preparation of renowned global IT companies.- : AI add-on qualification.Educational Technology and AI.- Artificial Intelligence in Continuing Education of the Future.AI in Vocational Rehabilitation - Intelligent Assistance for People with Disabilities.

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Edited in collaboration with FoLLI, the Association of Logic, Language and Information this book constitutes the refereed proceedings of the 21st Workshop on Logic, Language, Information and Communication, WoLLIC 2014, held in Valparaiso, Chile, in September 2014. The 15 contributed papers presented together with 6 invited lectures were carefully reviewed and selected from 29 submissions. The focus of the workshop was on the following subjects Inter-Disciplinary Research involving Formal Logic, Computing and Programming Theory, and Natural Language and Reasoning.

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Book SynopsisThe overall structure of this new edition is three-tier: Part I presents the basics, Part II is concerned with methodological issues, and Part III discusses advanced topics. In the second edition the authors have reorganized the material to focus on problems, how to represent them, and then how to choose and design algorithms for different representations. They also added a chapter on problems, reflecting the overall book focus on problem-solvers, a chapter on parameter tuning, which they combined with the parameter control and "how-to" chapters into a methodological part, and finally a chapter on evolutionary robotics with an outlook on possible exciting developments in this field.The book is suitable for undergraduate and graduate courses in artificial intelligence and computational intelligence, and for self-study by practitioners and researchers engaged with all aspects of bioinspired design and optimization.Trade Review“This book aims to give a thorough introduction to evolutionary computing, covering techniques and methodological issues. … the book does a good job of giving a general overview of the field. It assumes very little initial knowledge and the breath of its coverage is very impressive. … the supporting website does contain suggested further reading for each of the chapters.” (Barry Wilkes, bcs The Chartered Institute for IT, bcs.org, May, 2016)“This second edition of the book under review is very timely and corresponds to Evolutionary Computation (EC)’s status as an established methodology. … The chapter subdivision into different algorithms used in the first edition … has been replaced by a more suitable student/researcher-oriented approach; this is also supported by the website www.evolutionarycomputation.org, which contains a trove of exercises, slides and extra bibliographic references.” (Anna I. Esparcia-Alcázar, Mathematical Reviews, May, 2016)“Introduction to Evolutionary Computing is an excellent and readable text that should find a place on the bookshelf of anyone who researches and/or teaches in this domain. Suitable for a graduate course or upper-level undergraduate course in Evolutionary Computing, it is also a superior and well-organized reference book. … papers and presentations cited in the text provide a marvelous literature review. … The clarity of exposition and detail are excellent … .” (Jeffrey L. Popyack, Genetic Programming and Evolvable Machines, Vol. 17 (2), 2016)Table of ContentsProblems to Be Solved.- Evolutionary Computing: The Origins.- What Is an Evolutionary Algorithm?.- Representation, Mutation, and Recombination.- Fitness, Selection, and Population Management.- Popular Evolutionary Algorithm Variants.- Hybridisation with Other Techniques: Memetic Algorithms.- Nonstationary and Noisy Function Optimisation.- Multiobjective Evolutionary Algorithms.- Constraint Handling.- Interactive Evolutionary Algorithms.- Coevolutionary Systems.- Theory.- Evolutionary Robotics.- Parameters and Parameter Tuning.- Parameter Control.- Working with Evolutionary Algorithms.- References.

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Book SynopsisThese transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as performance optimization in IoT, big data, reliability, privacy, security, service selection, QoS and machine learning. This 36th issue contains 7 selected papers which present new findings and innovative methodologies as well as discuss issues and challenges in the field of collective intelligence from big data and networking paradigms while addressing security, privacy, reliability and optimality to achieve QoS to the benefit of final usersThis is an open access book.

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Book SynopsisWie kann man Ressourcen optimal nutzen? Wie finde ich die richtige Lösung für ein kompliziertes Problem? Wie erreiche ich mit geringstem Aufwand mein Ziel?Ohne mathematische Formeln zu bemühen, geht der Autor diesen und anderen Fragen der Optimierung komplexer Systeme auf den Grund. Die betrachteten Anwendungsfälle reichen von Ablaufplanungen über den Aufbau eines Energienetzes und anderer technischer Strukturen bis hin zu Fragen des täglichen Lebens – wie dem leidigen Kofferpacken oder frustrierten Beziehungen.Leicht verständlich und gut illustriert werden effiziente Herangehensweisen an die verschiedensten Optimierungsprobleme beschrieben und zahlreiche Algorithmen zu ihrer Lösung vorgestellt. Auf fast spielerische Weise betrachtet der Autor von einem einheitlichen Standpunkt aus kombinatorische wie kontinuierliche Optimierungsfragen und schlägt zum Schluss einen Bogen zur philosophischen Betrachtung über die Schönheit unserer Welt.Table of ContentsOptimierung und Technik.- Stell Dir ein Ziel: Zielfunktionen und ihre Landschaften.- Man kann's nicht allen recht machen: Die Optimierung frustrierter Systeme.- Gott würfelt nicht, oder?: Monte-Carlo-Verfahren der globalen Optimierung.- Geht’s nicht auch besser?: Klassische Optimierungsaufgaben.- Das macht es nicht leichter: Probleme mit Einschränkungen.- Optimalität im Kleinen wie im Großen.- Anstelle eines Schlussworts: Die Schönheit des Optimums.

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Book SynopsisKünstliche Intelligenz ist eine Schlüsseltechnologie, mit der sowohl in der Wissenschaft als auch in der Industrie große Erwartungen verbunden sind. In diesem Buch werden sowohl die Perspektiven als auch die Grenzen dieser Technologie diskutiert. Das betrifft die praktischen, theoretischen und konzeptionellen Herausforderungen, denen sich die KI stellen muss. In einer Frühphase standen in der KI Expertensysteme im Vordergrund, bei denen mit Hilfe symbolischer Datenverarbeitung regelbasiertes Wissen verarbeitet wurde. Heute wird die KI von statistik-basierten Methoden im Bereich des maschinellen Lernens beherrscht. Diese subsymbolische KI wird an den Lehren, die aus der Frühphase der KI gezogen werden können, gemessen. Als Ergebnis wird vor allem für eine hybride KI argumentiert, die die Potentiale beider Ansätze zur Entfaltung bringen kann.Table of ContentsZum Begriff der K¨unstlichen Intelligenz.- Praktische Grenzen.- Theoretische Grenzen.- Konzeptionelle Grenzen.- Ausblicke auf Hybride KI.

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