Probabilistic Reasoning in Multiagent Systems

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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 Mobile Agent System for Network Testing

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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:

Probabilistic Reasoning in Expert Systems

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Publisher : CreateSpace
ISBN 13 : 9781477452547
Total Pages : 448 pages
Book Rating : 4.4/5 (525 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 CreateSpace. This book was released on 2012-06-01 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text is a reprint of the seminal 1989 book Probabilistic Reasoning in Expert systems: Theory and Algorithms, which helped serve to create the field we now call Bayesian networks. It introduces the properties of Bayesian networks (called causal networks in the text), discusses algorithms for doing inference in Bayesian networks, covers abductive inference, and provides an introduction to decision analysis. Furthermore, it compares rule-base experts systems to ones based on Bayesian networks, and it introduces the frequentist and Bayesian approaches to probability. Finally, it provides a critique of the maximum entropy formalism. Probabilistic Reasoning in Expert Systems was written from the perspective of a mathematician with the emphasis being on the development of theorems and algorithms. Every effort was made to make the material accessible. There are ample examples throughout the text. This text is important reading for anyone interested in both the fundamentals of Bayesian networks and in the history of how they came to be. It also provides an insightful comparison of the two most prominent approaches to probability.

PDT Logic

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

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Book Synopsis PDT Logic by : Karsten Martiny

Download or read book PDT Logic written by Karsten Martiny and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Decision Theory and Multi-Agent Planning

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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".

Reasoning with Models of Probabilistic Knowledge Over Probabilistic Knowledge

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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.

Probabilistic and Causal Inference

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Publisher : Morgan & Claypool
ISBN 13 : 1450395899
Total Pages : 946 pages
Book Rating : 4.4/5 (53 download)

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Book Synopsis Probabilistic and Causal Inference by : Hector Geffner

Download or read book Probabilistic and Causal Inference written by Hector Geffner and published by Morgan & Claypool. This book was released on 2022-03-10 with total page 946 pages. Available in PDF, EPUB and Kindle. Book excerpt: Professor Judea Pearl won the 2011 Turing Award “for fundamental contributions to artificial intelligence through the development of a calculus for probabilistic and causal reasoning.” This book contains the original articles that led to the award, as well as other seminal works, divided into four parts: heuristic search, probabilistic reasoning, causality, first period (1988–2001), and causality, recent period (2002–2020). Each of these parts starts with an introduction written by Judea Pearl. The volume also contains original, contributed articles by leading researchers that analyze, extend, or assess the influence of Pearl’s work in different fields: from AI, Machine Learning, and Statistics to Cognitive Science, Philosophy, and the Social Sciences. The first part of the volume includes a biography, a transcript of his Turing Award Lecture, two interviews, and a selected bibliography annotated by him.

Computational Logic in Multi-Agent Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 3540696180
Total Pages : 324 pages
Book Rating : 4.5/5 (46 download)

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Book Synopsis Computational Logic in Multi-Agent Systems by : Katsumi Inoue

Download or read book Computational Logic in Multi-Agent Systems written by Katsumi Inoue and published by Springer Science & Business Media. This book was released on 2007-01-12 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-proceedings of the 7th International Workshop on Computational Logic for Multi-Agent Systems, CLIMA VII, held in Hakodate, Japan, in May 2006. It was an associated event of AAMAS 2006, the main international conference on autonomous agents and multi-agent systems. The series of workshops presents current work on application of general and declarative theories.

Computational Logic in Multi-Agent Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 3642223583
Total Pages : 398 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Computational Logic in Multi-Agent Systems by : Joao Leite

Download or read book Computational Logic in Multi-Agent Systems written by Joao Leite and published by Springer Science & Business Media. This book was released on 2011-07-06 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 12th International Workshop on Computational Logic in Multi-Agent Systems, CLIMA XII, held in Barcelona, Spain, in July 2011. The 22 papers presented were carefully reviewed and selected from 43 submissions. The purpose of the CLIMA workshops is to provide a forum for discussing techniques, based on computational logic, for representing, programming and reasoning about agents and multi-agent systems in a formal way. This volume features five thematic special sessions: secrets and trust, knowledge and beliefs, logics for games and social choice, cooperation, logic and languages, and norms and normative multi-agent systems.

Probabilistic Reasoning for Complex Systems

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Publisher :
ISBN 13 :
Total Pages : 652 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Probabilistic Reasoning for Complex Systems by : Avrom J. Pfeffer

Download or read book Probabilistic Reasoning for Complex Systems written by Avrom J. Pfeffer and published by . This book was released on 1999 with total page 652 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Distributed Reason Maintenance for Multiagent Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 9783540636069
Total Pages : 314 pages
Book Rating : 4.6/5 (36 download)

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Book Synopsis Distributed Reason Maintenance for Multiagent Systems by : Gerhard K. Kraetzschmar

Download or read book Distributed Reason Maintenance for Multiagent Systems written by Gerhard K. Kraetzschmar and published by Springer Science & Business Media. This book was released on 1997-10 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a systematic in-depth investigation of a class of multiple-context assumption-based multiagent reasoning problems, typical, e.g., for distributed planning, scheduling, and control. First, logical and architectural foundations are provided to construct the two systems XFRMS and MXFRMS allowing the development of more complex utilities. Then the technology developed for XFRMS in the single-agent case is further enhanced to the multiagent situation. The multiagent RMS MXFRMS provides, along with XFRMS, a solid foundation for building more complex utilities, such as plan or schedule maintenance systems. In the final chapter, the software engineer confronted with the task of building a practicable multiagent system can find a discussion of potential uses and future extensions of the systems provided.

Advances in Artificial Intelligence

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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.

Multiagent Systems, second edition

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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

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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

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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

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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

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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.