Probabilistic Reasoning In Multiagent Systems

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Probabilistic Reasoning in Multiagent Systems

Author : Yang Xiang
Publisher : Cambridge University Press
ISBN 13 : 1139434462
Total Pages : 310 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Probabilistic Reasoning in Multiagent Systems by : Yang Xiang

Download or read book Probabilistic Reasoning in Multiagent Systems written by Yang Xiang and published by Cambridge University Press. This book was released on 2002-08-26 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 2002 book investigates the opportunities in building intelligent decision support systems offered by multi-agent distributed probabilistic reasoning. Probabilistic reasoning with graphical models, also known as Bayesian networks or belief networks, has become increasingly an active field of research and practice in artificial intelligence, operations research and statistics. The success of this technique in modeling intelligent decision support systems under the centralized and single-agent paradigm has been striking. Yang Xiang extends graphical dependence models to the distributed and multi-agent paradigm. He identifies the major technical challenges involved in such an endeavor and presents the results. The framework developed in the book allows distributed representation of uncertain knowledge on a large and complex environment embedded in multiple cooperative agents, and effective, exact and distributed probabilistic inference.

Probabilistic Reasoning in Intelligent Systems

Author : Judea Pearl
Publisher : Elsevier
ISBN 13 : 0080514898
Total Pages : 573 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Probabilistic Reasoning in Intelligent Systems by : Judea Pearl

Download or read book Probabilistic Reasoning in Intelligent Systems written by Judea Pearl and published by Elsevier. This book was released on 2014-06-28 with total page 573 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explication of probability as a language for reasoning with partial belief and offers a unifying perspective on other AI approaches to uncertainty, such as the Dempster-Shafer formalism, truth maintenance systems, and nonmonotonic logic. The author distinguishes syntactic and semantic approaches to uncertainty--and offers techniques, based on belief networks, that provide a mechanism for making semantics-based systems operational. Specifically, network-propagation techniques serve as a mechanism for combining the theoretical coherence of probability theory with modern demands of reasoning-systems technology: modular declarative inputs, conceptually meaningful inferences, and parallel distributed computation. Application areas include diagnosis, forecasting, image interpretation, multi-sensor fusion, decision support systems, plan recognition, planning, speech recognition--in short, almost every task requiring that conclusions be drawn from uncertain clues and incomplete information. Probabilistic Reasoning in Intelligent Systems will be of special interest to scholars and researchers in AI, decision theory, statistics, logic, philosophy, cognitive psychology, and the management sciences. Professionals in the areas of knowledge-based systems, operations research, engineering, and statistics will find theoretical and computational tools of immediate practical use. The book can also be used as an excellent text for graduate-level courses in AI, operations research, or applied probability.

Probabilistic Reasoning in Expert Systems

Author : Richard E. Neapolitan
Publisher : Wiley-Interscience
ISBN 13 :
Total Pages : 492 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Probabilistic Reasoning in Expert Systems by : Richard E. Neapolitan

Download or read book Probabilistic Reasoning in Expert Systems written by Richard E. Neapolitan and published by Wiley-Interscience. This book was released on 1990-03-16 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: Addresses the use probability theory as a tool for designing with and implementing uncertainity reasoning. Provides many concrete algorithms, explores techniques for solving multimembership classification problems not based directly on causal networks, and offers practical recommendations, matching specific methods with sample expert systems.

Probabilistic Reasoning in Intelligent Systems

Author : Judea Pearl
Publisher :
ISBN 13 :
Total Pages : 552 pages
Book Rating : 4.:/5 (11 download)

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Book Synopsis Probabilistic Reasoning in Intelligent Systems by : Judea Pearl

Download or read book Probabilistic Reasoning in Intelligent Systems written by Judea Pearl and published by . This book was released on 2014 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explication of probability as a language for reasoning with partial belief and offers a unifying perspective on other AI approaches to uncertainty, such as the Dempster-Shafer formalism, truth maintenance systems, and nonmonotonic logic. The author distinguishes syntactic and semantic approaches to uncertainty--and offers techniques, based on belief networks, that provide a mechanism for making semantics-based systems operational. Specifically, network-propagation techniques serve as a mechanism for combining the theoretical coherence of probability theory with modern demands of reasoning-systems technology: modular declarative inputs, conceptually meaningful inferences, and parallel distributed computation. Application areas include diagnosis, forecasting, image interpretation, multi-sensor fusion, decision support systems, plan recognition, planning, speech recognition--in short, almost every task requiring that conclusions be drawn from uncertain clues and incomplete information. Probabilistic Reasoning in Intelligent Systems will be of special interest to scholars and researchers in AI, decision theory, statistics, logic, philosophy, cognitive psychology, and the management sciences. Professionals in the areas of knowledge-based systems, operations research, engineering, and statistics will find theoretical and computational tools of immediate practical use. The book can also be used as an excellent text for graduate-level courses in AI, operations research, or applied probability.

Probabilistic Reasoning Mobile Agent System for Network Testing

Author : Laila Khreisat
Publisher :
ISBN 13 :
Total Pages : 116 pages
Book Rating : 4.:/5 (45 download)

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Book Synopsis Probabilistic Reasoning Mobile Agent System for Network Testing by : Laila Khreisat

Download or read book Probabilistic Reasoning Mobile Agent System for Network Testing written by Laila Khreisat and published by . This book was released on 2000 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Decision Theory and Multi-Agent Planning

Author : Giacomo Della Riccia
Publisher : Springer Science & Business Media
ISBN 13 : 3211381678
Total Pages : 203 pages
Book Rating : 4.2/5 (113 download)

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Book Synopsis Decision Theory and Multi-Agent Planning by : Giacomo Della Riccia

Download or read book Decision Theory and Multi-Agent Planning written by Giacomo Della Riccia and published by Springer Science & Business Media. This book was released on 2007-05-03 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: The work presents a modern, unified view on decision support and planning by considering its basics like preferences, belief, possibility and probability as well as utilities. These features together are immanent for software agents to believe the user that the agents are "intelligent".

Advances in Artificial Intelligence

Author : Osmar Zaiane
Publisher : Springer
ISBN 13 : 3642384579
Total Pages : 384 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Advances in Artificial Intelligence by : Osmar Zaiane

Download or read book Advances in Artificial Intelligence written by Osmar Zaiane and published by Springer. This book was released on 2013-11-18 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 25th Canadian Conference on Artificial Intelligence, Canadian AI 2012, held in Regina, SK, Canada, in May 2013. The 17 regular papers and 15 short papers presented were carefully reviewed and selected from 73 initial submissions and are accompanied by 8 papers from the Graduate Student Symposium that were selected from 14 submissions. The papers cover a variety of topics within AI, such as: information extraction, knowledge representation, search, text mining, social networks, temporal associations.

A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence

Author : Nikos Kolobov
Publisher : Springer Nature
ISBN 13 : 3031015436
Total Pages : 71 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence by : Nikos Kolobov

Download or read book A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence written by Nikos Kolobov and published by Springer Nature. This book was released on 2022-06-01 with total page 71 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiagent systems is an expanding field that blends classical fields like game theory and decentralized control with modern fields like computer science and machine learning. This monograph provides a concise introduction to the subject, covering the theoretical foundations as well as more recent developments in a coherent and readable manner. The text is centered on the concept of an agent as decision maker. Chapter 1 is a short introduction to the field of multiagent systems. Chapter 2 covers the basic theory of singleagent decision making under uncertainty. Chapter 3 is a brief introduction to game theory, explaining classical concepts like Nash equilibrium. Chapter 4 deals with the fundamental problem of coordinating a team of collaborative agents. Chapter 5 studies the problem of multiagent reasoning and decision making under partial observability. Chapter 6 focuses on the design of protocols that are stable against manipulations by self-interested agents. Chapter 7 provides a short introduction to the rapidly expanding field of multiagent reinforcement learning. The material can be used for teaching a half-semester course on multiagent systems covering, roughly, one chapter per lecture.

Multiagent Systems, second edition

Author : Gerhard Weiss
Publisher : MIT Press
ISBN 13 : 0262533871
Total Pages : 917 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Multiagent Systems, second edition by : Gerhard Weiss

Download or read book Multiagent Systems, second edition written by Gerhard Weiss and published by MIT Press. This book was released on 2016-10-28 with total page 917 pages. Available in PDF, EPUB and Kindle. Book excerpt: The new edition of an introduction to multiagent systems that captures the state of the art in both theory and practice, suitable as textbook or reference. Multiagent systems are made up of multiple interacting intelligent agents—computational entities to some degree autonomous and able to cooperate, compete, communicate, act flexibly, and exercise control over their behavior within the frame of their objectives. They are the enabling technology for a wide range of advanced applications relying on distributed and parallel processing of data, information, and knowledge relevant in domains ranging from industrial manufacturing to e-commerce to health care. This book offers a state-of-the-art introduction to multiagent systems, covering the field in both breadth and depth, and treating both theory and practice. It is suitable for classroom use or independent study. This second edition has been completely revised, capturing the tremendous developments in multiagent systems since the first edition appeared in 1999. Sixteen of the book's seventeen chapters were written for this edition; all chapters are by leaders in the field, with each author contributing to the broad base of knowledge and experience on which the book rests. The book covers basic concepts of computational agency from the perspective of both individual agents and agent organizations; communication among agents; coordination among agents; distributed cognition; development and engineering of multiagent systems; and background knowledge in logics and game theory. Each chapter includes references, many illustrations and examples, and exercises of varying degrees of difficulty. The chapters and the overall book are designed to be self-contained and understandable without additional material. Supplemental resources are available on the book's Web site. Contributors Rafael Bordini, Felix Brandt, Amit Chopra, Vincent Conitzer, Virginia Dignum, Jürgen Dix, Ed Durfee, Edith Elkind, Ulle Endriss, Alessandro Farinelli, Shaheen Fatima, Michael Fisher, Nicholas R. Jennings, Kevin Leyton-Brown, Evangelos Markakis, Lin Padgham, Julian Padget, Iyad Rahwan, Talal Rahwan, Alex Rogers, Jordi Sabater-Mir, Yoav Shoham, Munindar P. Singh, Kagan Tumer, Karl Tuyls, Wiebe van der Hoek, Laurent Vercouter, Meritxell Vinyals, Michael Winikoff, Michael Wooldridge, Shlomo Zilberstein

Argumentation in Multi-Agent Systems

Author : Peter McBurney
Publisher : Springer
ISBN 13 : 3642331521
Total Pages : 241 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Argumentation in Multi-Agent Systems by : Peter McBurney

Download or read book Argumentation in Multi-Agent Systems written by Peter McBurney and published by Springer. This book was released on 2012-09-28 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly reviewed post-proceedings of the 8th International Workshop on Argumentation in Multi-Agent Systems, ArgMas 2011, held in Taipei, Taiwan in May 2011 in association with the 10th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2011). The 8 revised full papers taken from ArgMAS 2011. Also included are 5 invited papers based on presentations on argumentation at the AAMAS 2011 main conference. All together the 13 papers included in the book give a representative overview on current research on argumentation in multi-agent systems. The papers are listed alphabetically by first author within three thematic topics: foundations and theory; argumentation and dialogue; and applications.

Principles of Practice in Multi-Agent Systems

Author : Jung-Jin Yang
Publisher : Springer
ISBN 13 : 3642111610
Total Pages : 671 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Principles of Practice in Multi-Agent Systems by : Jung-Jin Yang

Download or read book Principles of Practice in Multi-Agent Systems written by Jung-Jin Yang and published by Springer. This book was released on 2009-12-15 with total page 671 pages. Available in PDF, EPUB and Kindle. Book excerpt: Agents are software processes that perceive and act in an environment, processing their perceptions to make intelligent decisions about actions to achieve their goals. Multi-agent systems have multiple agents that work in the same environment to achieve either joint or conflicting goals. Agent computing and technology is an exciting, emerging paradigm expected to play a key role in many society-changing practices from disaster response to manufacturing to agriculture. Agent and mul- agent researchers are focused on building working systems that bring together a broad range of technical areas from market theory to software engineering to user interfaces. Agent systems are expected to operate in real-world environments, with all the challenges complex environments present. After 11 successful PRIMA workshops/conferences (Pacific-Rim International Conference/Workshop on Multi-Agents), PRIMA became a new conference titled “International Conference on Principles of Practice in Multi-Agent Systems” in 2009. With over 100 submissions, an acceptance rate for full papers of 25% and 50% for posters, a demonstration session, an industry track, a RoboCup competition and workshops and tutorials, PRIMA has become an important venue for multi-agent research. Papers submitted are from all parts of the world, though with a higher representation of Pacific Rim countries than other major multi-agent research forums. This volume presents 34 high-quality and exciting technical papers on multimedia research and an additional 18 poster papers that give brief views on exciting research.

MICAI 2009: Advances in Artificial Intelligence

Author : Arturo Hernández Aguirre
Publisher : Springer
ISBN 13 : 3642052584
Total Pages : 759 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis MICAI 2009: Advances in Artificial Intelligence by : Arturo Hernández Aguirre

Download or read book MICAI 2009: Advances in Artificial Intelligence written by Arturo Hernández Aguirre and published by Springer. This book was released on 2009-11-02 with total page 759 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th Mexican International Conference on Artificial Intelligence, MICAI 2009, held in Guanajuato, Mexico, in November 2009. The 63 revised full papers presented together with one invited talk were carefully reviewed and selected from 215 submissions. The papers are organized in topical sections on logic and reasoning, ontologies, knowledge management and knowledge-based systems, uncertainty and probabilistic reasoning, natural language processing, data mining, machine learning, pattern recognition, computer vision and image processing, robotics, planning and scheduling, fuzzy logic, neural networks, intelligent tutoring systems, bioinformatics and medical applications, hybrid intelligent systems and evolutionary algorithms.

Logic, Language, and Computation

Author : Nick Bezhanishvili
Publisher : Springer
ISBN 13 : 3642223036
Total Pages : 373 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Logic, Language, and Computation by : Nick Bezhanishvili

Download or read book Logic, Language, and Computation written by Nick Bezhanishvili and published by Springer. This book was released on 2011-07-18 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: Edited in collaboration with FoLLI, the Association of Logic, Language and Information, this book constitutes the refereed proceedings of the 8th International Tbilisi Symposium on Logic, Language, and Computation, TbiLLC 2009, held in Bakuriani, Georgia, in September 2009. The 20 revised full papers included in the book were carefully reviewed and selected from numerous presentations given at the symposium. The focus of the papers is on the following topics: natural language syntax, semantics, and pragmatics; constructive, modal and algebraic logic; linguistic typology and semantic universals; logics for artificial intelligence; information retrieval, query answer systems; logic, games, and formal pragmatics; language evolution and learnability; computational social choice; historical linguistics, history of logic.

Advances in Practical Applications of Agents and Multiagent Systems

Author : Yves Demazeau
Publisher : Springer Science & Business Media
ISBN 13 : 3642123848
Total Pages : 300 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Advances in Practical Applications of Agents and Multiagent Systems by : Yves Demazeau

Download or read book Advances in Practical Applications of Agents and Multiagent Systems written by Yves Demazeau and published by Springer Science & Business Media. This book was released on 2010-04-15 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: PAAMS, the International Conference on Practical Applications of Agents and Multi-Agent Systems is an international yearly stage to present, to discuss, and to disseminate the latest advances and the most important outcomes related to real-world applications. It provides a unique opportunity to bring multi-disciplinary experts, academics and practitioners together to exchange their experience in the development of Agents and Multi-Agent Systems. This volume presents the papers that have been accepted for the 2010 edition. These articles capture the most innovative results and this year’s advances. Each paper has been reviewed by three different reviewers, from an international com-mittee composed of 82 members from 26 different countries. From the 66 submissions received, 19 were selected for full presentation at the conference, and 14 were accepted as short papers. Moreover, PAAMS'10 incorporated special ses-sions and workshops to complement the regular program, which included 85 ac-cepted papers.

Logic, Language, and Computation

Author : Balder D. ten Cate
Publisher : Springer Science & Business Media
ISBN 13 : 3540751432
Total Pages : 292 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Logic, Language, and Computation by : Balder D. ten Cate

Download or read book Logic, Language, and Computation written by Balder D. ten Cate and published by Springer Science & Business Media. This book was released on 2007-09-17 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Edited in collaboration with FoLLI, the Association of Logic, Language and Information, this book represents the thoroughly refereed post-proceedings of the 6th International Tbilisi Symposium on Logic, Language, and Computation, TbiLLC 2005, held in Batumi, Georgia. The 19 revised full papers presented were carefully reviewed and selected from numerous presentations at the symposium. The papers present current research in all aspects of linguistics, logic and computation.

Methodologies for Intelligent Systems

Author : Zbigniew W. Ras
Publisher : Springer Science & Business Media
ISBN 13 : 9783540584957
Total Pages : 656 pages
Book Rating : 4.5/5 (849 download)

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Book Synopsis Methodologies for Intelligent Systems by : Zbigniew W. Ras

Download or read book Methodologies for Intelligent Systems written by Zbigniew W. Ras and published by Springer Science & Business Media. This book was released on 1994-09-28 with total page 656 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the revised versions of the papers presented at the Eighth International Symposium on Methodologies for Intelligent Systems (ISMIS '94), held in Charlotte, North Carolina, USA in October 1994. Besides four invited contributions by renowned researchers on key topics, there are 56 full papers carefully selected from more than 120 submissions. The book presents the state of the art for methodologies for intelligent systems; the papers are organized in sections on approximate reasoning, evolutionary computation, intelligent information systems, knowledge representation, methodologies, learning and adaptive systems, and logic for AI.

Reasoning with Models of Probabilistic Knowledge Over Probabilistic Knowledge

Author : Afsaneh H. Shirazi
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (774 download)

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Book Synopsis Reasoning with Models of Probabilistic Knowledge Over Probabilistic Knowledge by : Afsaneh H. Shirazi

Download or read book Reasoning with Models of Probabilistic Knowledge Over Probabilistic Knowledge written by Afsaneh H. Shirazi and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In multi-agent systems, the knowledge of agents about other agents0́9 knowledge often plays a pivotal role in their decisions. In many applications, this knowledge involves uncertainty. This uncertainty may be about the state of the world or about the other agents0́9 knowledge. In this thesis, we answer the question of how to model this probabilistic knowledge and reason about it efficiently. Modal logics enable representation of knowledge and belief by explicit reference to classical logical formulas in addition to references to those formulas0́9 truth values. Traditional modal logics (see e.g. [Fitting, 1993; Blackburn et al., 2007]) cannot easily represent scenarios involving degrees of belief. Works that combine modal logics and probabilities apply the representation power of modal operators for representing beliefs over beliefs, and the representation power of probability for modeling graded beliefs. Most tractable approaches apply a single model that is either engineered or learned, and reasoning is done within that model. Present model-based approaches of this kind are limited in that either their semantics is restricted to have all agents with a common prior on world states, or are resolving to reasoning algorithms that do not scale to large models. In this thesis we provide the first sampling-based algorithms for model-based reasoning in such combinations of modal logics and probability. We examine a different point than examined before in the expressivity-tractability tradeoff for that combination, and examine both general models and also models which use Bayesian Networks to represent subjective probabilistic beliefs of agents. We provide exact inference algorithms for the two representations, together with correctness results, and show that they are faster than comparable previous ones when some structural conditions hold. We also present sampling-based algorithms, show that those converge under relaxed conditions and that they may not converge otherwise, demonstrate the methods on some examples, and examine the performance of our algorithms experimentally.