Argumentation in Artificial Intelligence, Iyad Rahwan
Автор: Iyad Rahwan; Simon D. Parsons; Chris Reed Название: Argumentation in Multi-Agent Systems ISBN: 3540789146 ISBN-13(EAN): 9783540789147 Издательство: Springer Рейтинг: Цена: 60550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Here are the latest developments in the growing area of research at the interface of argumentation theory and multiagent systems. Argumentation provides tools for designing, implementing and analyzing sophisticated forms of interaction among rational agents.
Автор: Walton Название: Goal-based Reasoning for Argumentation ISBN: 1107119049 ISBN-13(EAN): 9781107119048 Издательство: Cambridge Academ Рейтинг: Цена: 84470.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Practical argumentation is intelligent reasoning from an agent`s goals and known circumstances, and from an action selected as a means, to arrive at a decision on what action to take. This book will appeal to a wide audience, from designers of multi-agent and robotics systems to social scientists.
Автор: Thomas Eiter; Hannes Strass; Miros?aw Truszczy?ski Название: Advances in Knowledge Representation, Logic Programming, and Abstract Argumentation ISBN: 3319147250 ISBN-13(EAN): 9783319147253 Издательство: Springer Рейтинг: Цена: 52170.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This Festschrift is published in honor of Gerhard Brewka on the occasion of his 60th birthday and contains articles from fields reflecting the breadth of Gerd`s work.
Автор: Millington, Ian, Funge, John Название: Artificial Intelligence for Games ISBN: 0123747317 ISBN-13(EAN): 9780123747310 Издательство: Taylor&Francis Рейтинг: Цена: 72470.00 T Наличие на складе: Поставка под заказ. Описание: Creating robust artificial intelligence is one of the greatest challenges for game developers, yet the commercial success of a game is often dependent upon the quality of the AI. In this book, Ian Millington brings extensive professional experience to the problem of improving the quality of AI in games. He describes numerous examples from real games and explores the underlying ideas through detailed case studies. He goes further to introduce many techniques little used by developers today. The book's associated web site contains a library of C++ source code and demonstration programs, and a complete commercial source code library of AI algorithms and techniques.<br><br>"Artificial Intelligence for Games - 2nd edition" will be highly useful to academics teaching courses on game AI, in that it includes exercises with each chapter. It will also include new and expanded coverage of the following: AI-oriented gameplay; Behavior driven AI; Casual games (puzzle games). <br><br>* The first comprehensive, professional tutorial and reference to implement true AI in games written by an engineer with extensive industry experience.<br>* Walks through the entire development process from beginning to end.<br>* Includes examples from over 100 real games, 10 in-depth case studies, and web site with sample code.
Автор: Ertel Название: Introduction to Artificial Intelligence ISBN: 0857292986 ISBN-13(EAN): 9780857292988 Издательство: Springer Рейтинг: Цена: 32560.00 T Наличие на складе: Невозможна поставка. Описание: This concise and accessible textbook supports a foundation or module course on A.I., covering a broad selection of the subdisciplines within this field. The book presents concrete algorithms and applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks and reinforcement learning. Topics and features: presents an application-focused and hands-on approach to learning the subject; provides study exercises of varying degrees of difficulty at the end of each chapter, with solutions given at the end of the book; supports the text with highlighted examples, definitions, and theorems; includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learning; contains an extensive bibliography for deeper reading on further topics; supplies additional teaching resources, including lecture slides and training data for learning algorithms, at an associated website.
Автор: Riccardo Bellazzi; Ameen Abu-Hanna; Jim Hunter Название: Artificial Intelligence in Medicine ISBN: 3540735984 ISBN-13(EAN): 9783540735984 Издательство: Springer Рейтинг: Цена: 81050.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Constitutes the refereed proceedings of the 11th Conference on Artificial Intelligence in Medicine in Europe, AIME 2007, held in Amsterdam, The Netherlands in July 2007.
Автор: Simon D. Parsons; Nicolas Maudet; Pavlos Moraitis; Название: Argumentation in Multi-Agent Systems ISBN: 3540363556 ISBN-13(EAN): 9783540363552 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Constitutes the refereed post-proceedings of the Second International Workshop on Argumentation in Multi-Agent Systems held in Utrecht, Netherlands in July 2005. This book includes papers organized in topical sections on foundations, negotiation, protocols, deliberation and coalition formation, and consensus formation.
Автор: Naeem Khalid Janjua Название: A Defeasible Logic Programming-Based Framework to Support Argumentation in Semantic Web Applications ISBN: 3319381709 ISBN-13(EAN): 9783319381701 Издательство: Springer Рейтинг: Цена: 130590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book describes a semantic web-based approach for addressing the problem of decision making when information is coming from multiple information sources and is incomplete and/or contradictory.
Автор: Naeem Khalid Janjua Название: A Defeasible Logic Programming-Based Framework to Support Argumentation in Semantic Web Applications ISBN: 3319039482 ISBN-13(EAN): 9783319039480 Издательство: Springer Рейтинг: Цена: 167700.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book describes a semantic web-based approach for addressing the problem of decision making when information is coming from multiple information sources and is incomplete and/or contradictory.
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