Probabilistic Reasoning In Multiagent Systems

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Probabilistic Reasoning in Multiagent Systems

Author : Yang Xiang
Publisher : Cambridge University Press
Page : 310 pages
File Size : 46,7 Mb
Release : 2002-08-26
Category : Computers
ISBN : 9781139434461

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Probabilistic Reasoning in Multiagent Systems by Yang Xiang Pdf

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
Page : 552 pages
File Size : 50,6 Mb
Release : 2014-06-28
Category : Computers
ISBN : 9780080514895

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Probabilistic Reasoning in Intelligent Systems by Judea Pearl Pdf

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
Page : 492 pages
File Size : 41,5 Mb
Release : 1990-03-16
Category : Computers
ISBN : UOM:39015017023329

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Probabilistic Reasoning in Expert Systems by Richard E. Neapolitan Pdf

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 and Decision Making in Sensory-Motor Systems

Author : Pierre Bessière,Christian Laugier,Roland Siegwart
Publisher : Springer
Page : 378 pages
File Size : 51,6 Mb
Release : 2008-08-27
Category : Technology & Engineering
ISBN : 9783540790075

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Probabilistic Reasoning and Decision Making in Sensory-Motor Systems by Pierre Bessière,Christian Laugier,Roland Siegwart Pdf

Probabilistic Reasoning and Decision Making in Sensory-Motor Systems by Pierre Bessiere, Christian Laugier and Roland Siegwart provides a unique collection of a sizable segment of the cognitive systems research community in Europe. It reports on contributions from leading academic institutions brought together within the European projects Bayesian Inspired Brain and Artifact (BIBA) and Bayesian Approach to Cognitive Systems (BACS). This fourteen-chapter volume covers important research along two main lines: new probabilistic models and algorithms for perception and action, new probabilistic methodology and techniques for artefact conception and development. The work addresses key issues concerned with Bayesian programming, navigation, filtering, modelling and mapping, with applications in a number of different contexts.

Intelligent Decision Making: An AI-Based Approach

Author : Gloria Phillips-Wren,Nikhil Ichalkaranje
Publisher : Springer
Page : 410 pages
File Size : 52,8 Mb
Release : 2008-02-27
Category : Technology & Engineering
ISBN : 9783540768296

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Intelligent Decision Making: An AI-Based Approach by Gloria Phillips-Wren,Nikhil Ichalkaranje Pdf

Intelligent Decision Support Systems have the potential to transform human decision making by combining research in artificial intelligence, information technology, and systems engineering. The field of intelligent decision making is expanding rapidly due, in part, to advances in artificial intelligence and network-centric environments that can deliver the technology. Communication and coordination between dispersed systems can deliver just-in-time information, real-time processing, collaborative environments, and globally up-to-date information to a human decision maker. At the same time, artificial intelligence techniques have demonstrated that they have matured sufficiently to provide computational assistance to humans in practical applications. This book includes contributions from leading researchers in the field beginning with the foundations of human decision making and the complexity of the human cognitive system. Researchers contrast human and artificial intelligence, survey computational intelligence, present pragmatic systems, and discuss future trends. This book will be an invaluable resource to anyone interested in the current state of knowledge and key research gaps in the rapidly developing field of intelligent decision support.

Logic and Its Applications

Author : Md. Aquil Khan,Amaldev Manuel
Publisher : Springer
Page : 210 pages
File Size : 55,5 Mb
Release : 2019-02-13
Category : Mathematics
ISBN : 9783662587713

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Logic and Its Applications by Md. Aquil Khan,Amaldev Manuel Pdf

This book collects the refereed proceedings of the 8th Indian Conference on Logic and Its Applications, ICLA 2019, held in Delhi, India, in March 2019. The volume contains 13 full revised papers along with 6 invited talks presented at the conference. The aim of this conference series is to bring together researchers from a wide variety of fields in which formal logic plays a significant role. Areas of interest include mathematical and philosophical logic, computer science logic, foundations and philosophy of mathematics and the sciences, use of formal logic in areas of theoretical computer science and artificial intelligence, logic and linguistics, and the relationship between logic and other branches of knowledge. Of special interest are studies in systems of logic in the Indian tradition, and historical research on logic.

Probabilistic Reasoning in Intelligent Systems

Author : Judea Pearl
Publisher : Unknown
Page : 552 pages
File Size : 41,8 Mb
Release : 2014
Category : Mathematics
ISBN : OCLC:1105770351

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Probabilistic Reasoning in Intelligent Systems by Judea Pearl Pdf

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.

Intelligent Agents and Multi-Agent Systems

Author : Bui The Duy,Tuong Vinh Ho,Quang Thuy Ha
Publisher : Springer
Page : 406 pages
File Size : 46,9 Mb
Release : 2008-12-11
Category : Computers
ISBN : 9783540896746

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Intelligent Agents and Multi-Agent Systems by Bui The Duy,Tuong Vinh Ho,Quang Thuy Ha Pdf

PRIMA 2008 was the 11th in a series of conferences gathering researchers - voted to developing intelligent agents and multi-agent technologies from Asia and the Paci?c regions. From its ?rst incarnation over a decade ago, PRIMA has emerged as a signi?cant international forum, facilitating the exchange and dissemination of innovative research from around the globe. PRIMA 2008 was held in Vietnam, a tribute to this country’s emerging s- enti?c vitality and importance as a developing innovation center. The Program Committee received 56 submissions from 20 countries. Many of these papers are the work of PhD or Masters students from Asian countries including - rea, Japan, Indonesia, Malaysia, Iran, India, and Vietnam. In accordance with the rules, each submission was carefully peer-reviewed by three Program C- mittee referees. Only 19 submissions were accepted as regular papers, with a competitive rate of 33%. Additionally, the Program Committee decided to accept 22 short papers mainly written by graduate students, allowing our young colleagues an opp- tunity to present their work and new perspectives. These fresh perspectives enhanced our experienced of the conference and complemented the high quality of the professional papers submitted.

Advances in Practical Applications of Agents and Multiagent Systems

Author : Yves Demazeau,Frank Dignum,Juan Manuel Corchado Rodríguez,Javier Bajo
Publisher : Springer Science & Business Media
Page : 300 pages
File Size : 51,9 Mb
Release : 2010-04-15
Category : Technology & Engineering
ISBN : 9783642123849

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Advances in Practical Applications of Agents and Multiagent Systems by Yves Demazeau,Frank Dignum,Juan Manuel Corchado Rodríguez,Javier Bajo Pdf

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.

Autonomous Agents and Multiagent Systems

Author : Nardine Osman,Carles Sierra
Publisher : Springer
Page : 197 pages
File Size : 45,7 Mb
Release : 2016-09-23
Category : Computers
ISBN : 9783319468402

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Autonomous Agents and Multiagent Systems by Nardine Osman,Carles Sierra Pdf

This book constitutes the most visionary papers of the AAMAS 2016 Workshops, held in Singapore, Singapore, in May 2016. The 12 revised full papers presented were carefully reviewed and selected from the 12 workshops. They cover specific topics, both theoretical and applied, in the general area of autonomous agents and multiagent systems.

Probabilistic Graphical Models

Author : Linda C. van der Gaag,Ad J. Feelders
Publisher : Springer
Page : 598 pages
File Size : 43,9 Mb
Release : 2014-09-11
Category : Computers
ISBN : 9783319114330

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Probabilistic Graphical Models by Linda C. van der Gaag,Ad J. Feelders Pdf

This book constitutes the refereed proceedings of the 7th International Workshop on Probabilistic Graphical Models, PGM 2014, held in Utrecht, The Netherlands, in September 2014. The 38 revised full papers presented in this book were carefully reviewed and selected from 44 submissions. The papers cover all aspects of graphical models for probabilistic reasoning, decision making, and learning.

Advances in Probabilistic Graphical Models

Author : Peter Lucas,José A. Gámez,Antonio Salmerón Cerdan
Publisher : Springer
Page : 386 pages
File Size : 53,6 Mb
Release : 2007-06-12
Category : Mathematics
ISBN : 9783540689966

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Advances in Probabilistic Graphical Models by Peter Lucas,José A. Gámez,Antonio Salmerón Cerdan Pdf

This book brings together important topics of current research in probabilistic graphical modeling, learning from data and probabilistic inference. Coverage includes such topics as the characterization of conditional independence, the learning of graphical models with latent variables, and extensions to the influence diagram formalism as well as important application fields, such as the control of vehicles, bioinformatics and medicine.

Programming Multi-Agent Systems

Author : Lars Braubach,Jean-Pierre Briot,John Thangarajah
Publisher : Springer
Page : 285 pages
File Size : 47,5 Mb
Release : 2010-09-27
Category : Computers
ISBN : 9783642148439

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Programming Multi-Agent Systems by Lars Braubach,Jean-Pierre Briot,John Thangarajah Pdf

The earliest work on agents may be traced at least to the ?rst conceptualization of the actor model by Carl Hewitt. In a paper in an AI conference in the early 1970s, Hewitt described actors as entities with knowledge and goals. Research on actors continued to focus on AI with the development of the Sprites model in which a monotonically growing knowledge base could be accessed by actors (inspired by what Hewitt called “the Scienti?c Computing Metaphor”). In the late1970sandwellinto 1980s,controversyragedinAIbetweenthosearguingfor declarative languages and those arguing for procedural ones. Actor researchers stood on the side of a procedural view of knowledge, arguing for an open s- tems perspective rather than the closed world hypothesis necessary for a logical, declarativeview. In the open systemsview,agentshad armslength relationships and could not be expected to store consistent facts, nor could the information in a system be considered complete (the “negation as failure” model). Subsequent work on actors, including my own, focused on using actors for general purpose concurrent and distributed programming. In the late 1980s, a number of actor languages and frameworks were built. These included Act++ (in C++) by Dennis Kafura and Actalk (in Smalltalk) by Jean-Pierre Briot. In recent times, the use of the Actor model, in various guises, has proliferated as new parallel and distributed computing platforms and applications have become common:clusters,Webservices,P2Pnetworks,clientprogrammingonmulticore processors, and cloud computing.

Agent and Multi-Agent Systems: Technology and Applications

Author : Gordan Jezic,Mario Kusek,Yun-Heh Jessica Chen-Burger,Robert J. Howlett,Lakhmi C. Jain
Publisher : Springer
Page : 246 pages
File Size : 40,9 Mb
Release : 2017-05-23
Category : Technology & Engineering
ISBN : 9783319593944

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Agent and Multi-Agent Systems: Technology and Applications by Gordan Jezic,Mario Kusek,Yun-Heh Jessica Chen-Burger,Robert J. Howlett,Lakhmi C. Jain Pdf

This volume highlights new trends and challenges in research on agents and the new digital and knowledge economy, and includes 23 papers classified into the following categories: business process management, agent-based modeling and simulation, and anthropic-oriented computing. All papers were originally presented at the 11th International KES Conference on Agents and Multi-Agent Systems – Technologies and Applications (KES-AMSTA 2017) held June 21–23, 2017 in Vilamoura, Algarve, Portugal. Today’s economy is driven by technologies and knowledge. Digital technologies can free, shift and multiply choices, and often intrude on the territory of other industries by providing new ways of conducting business operations and creating value for customers and companies. The topics covered in this volume include software agents, multi-agent systems, agent modeling, mobile and cloud computing, big data analysis, business intelligence, artificial intelligence, social systems, computer embedded systems and nature inspired manufacturing, etc., all of which contribute to the modern Digital Economy. The results presented here will be of theoretical and practical value to researchers and industrial practitioners working in the fields of artificial intelligence, collective computational intelligence, innovative business models, the new digital and knowledge economy and, in particular, agent and multi-agent systems, technologies, tools and applications.

Programming Multi-Agent Systems

Author : Lars Braubach,Jean-Pierre Briot,John Thangarajah
Publisher : Springer Science & Business Media
Page : 296 pages
File Size : 54,7 Mb
Release : 2010-09-03
Category : Computers
ISBN : 9783642148422

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Programming Multi-Agent Systems by Lars Braubach,Jean-Pierre Briot,John Thangarajah Pdf

This book constitutes the proceedings of the 7th International Workshop on Programming Multi-Agent Systems held in Budapest, Hungary, in May 2009.