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Distributed Constraint Problem Solving and Reasoning in Multi-agent Systems

Distributed Constraint Problem Solving and Reasoning in Multi-agent Systems
Author: Weixiong Zhang
Publisher: IOS Press
Total Pages: 240
Release: 2004
Genre: Computers
ISBN: 9781586034566

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Distributed and multi-agent systems are becoming more and more the focus of attention in artificial intelligence research and have already found their way into many practical applications. An important prerequisite for their success is an ability to flexibly adapt their behavior via intelligent cooperation. Successful reasoning about and within a multiagent system is therefore paramount to achieve intelligent behavior. Distributed Constraint Satisfaction Problems (DCSPs) and Distributed Constraint Optimization (minimization) Problems (DCOPs) are perhaps ubiquitous in distributed systems in dynamic environments. Many important problems in distributed environments and systems, such as action coordination, task scheduling and resource allocation, can be formulated and solved as DCSPs and DCOPs. Therefore, techniques for solving DCSPs and DCOPs as well as strategies for automated reasoning in distributed systems are indispensable tools in the research areas of distributed and multi-agent systems. They also provide promising frameworks to deal with the increasingly diverse range of distributed real world problems emerging from the fast evolution of communication technologies.The volume is divided in two parts. One part contains papers on distributed constraint problems in multi-agent systems. The other part presents papers on Agents and Automated Reasoning.


Autonomous Dynamic Reconfiguration in Multi-Agent Systems

Autonomous Dynamic Reconfiguration in Multi-Agent Systems
Author: Markus Hannebauer
Publisher: Springer
Total Pages: 282
Release: 2003-08-02
Genre: Computers
ISBN: 3540458344

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High communication efforts and poor problem solving results due to restricted overview are two central issues in collaborative problem solving. This work addresses these issues by introducing the processes of agent melting and agent splitting that enable individual problem solving agents to continually and autonomously reconfigure and adapt themselves to the particular problem to be solved. The author provides a sound theoretical foundation of collaborative problem solving itself and introduces various new design concepts and techniques to improve its quality and efficiency, such as the multi-phase agreement finding protocol for external problem solving, the composable belief-desire-intention agent architecture, and the distribution-aware constraint specification architecture for internal problem solving. The practical relevance and applicability of the concepts and techniques provided are demonstrated by using medical appointment scheduling as a case study.


Distributed Constraint Satisfaction

Distributed Constraint Satisfaction
Author: Makoto Yokoo
Publisher: Springer Science & Business Media
Total Pages: 154
Release: 2012-12-06
Genre: Computers
ISBN: 3642595464

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Distributed Constraint Satisfaction gives an overview of Constraint Satisfaction Problems (CSPs), adapts related search algorithms and consistency algorithms for applications to multi-agent systems, and consolidates recent research devoted to cooperation in such systems. The techniques introduced are applied to various problems in multi-agent systems. Among the new approaches is a hybrid-type algorithm for weak-commitment search combining backtracking and iterative improvement. Also, an extension of the basic CSP formalization called "Partial CSP" is introduced in order to handle over-constrained CSPs.


Constraint Satisfaction Techniques for Agent-Based Reasoning

Constraint Satisfaction Techniques for Agent-Based Reasoning
Author: Nicoleta Neagu
Publisher: Springer Science & Business Media
Total Pages: 165
Release: 2006-03-30
Genre: Computers
ISBN: 3764373199

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Constraint satisfaction problems are significant in the domain of automated reasoning for artificial intelligence. They can be applied to the modeling and solving of a wide range of combinatorial applications such as planning, scheduling and resource sharing in a variety of practical domains such as transportation, production, supply-chains, network management and human resource management. In this book we study new techniques for solving constraint satisfaction problems, with a special focus on solution adaptation applied to agent reasoning.


Distributed Search by Constrained Agents

Distributed Search by Constrained Agents
Author: Amnon Meisels
Publisher: Springer Science & Business Media
Total Pages: 223
Release: 2008
Genre: Computers
ISBN: 1848000391

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The well defined model of distributed constraints satisfaction and optimization (DisCSPs/DisCOPs) can serve as the basis for the design and investigation of distributed search algorithms, of protocols and of negotiations and search. This book presents a comprehensive discussion on the field of distributed constraints, its algorithms and its active research areas. The book introduces distributed constraint satisfaction and optimization problems and describes the underlying model.


Coordination of Large-Scale Multiagent Systems

Coordination of Large-Scale Multiagent Systems
Author: Paul Scerri
Publisher: Springer Science & Business Media
Total Pages: 343
Release: 2006-03-14
Genre: Computers
ISBN: 0387279725

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Challenges arise when the size of a group of cooperating agents is scaled to hundreds or thousands of members. In domains such as space exploration, military and disaster response, groups of this size (or larger) are required to achieve extremely complex, distributed goals. To effectively and efficiently achieve their goals, members of a group need to cohesively follow a joint course of action while remaining flexible to unforeseen developments in the environment. Coordination of Large-Scale Multiagent Systems provides extensive coverage of the latest research and novel solutions being developed in the field. It describes specific systems, such as SERSE and WIZER, as well as general approaches based on game theory, optimization and other more theoretical frameworks. It will be of interest to researchers in academia and industry, as well as advanced-level students.


Principles and Practice of Multi-Agent Systems

Principles and Practice of Multi-Agent Systems
Author: Nirmit Desai
Publisher: Springer Science & Business Media
Total Pages: 665
Release: 2012-01-09
Genre: Computers
ISBN: 3642259197

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This book constitutes the thoroughly refereed post-conference proceedings of the 13th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2010, held in Kolkata, India, in November 2010. The 18 full papers presented together with 15 early innovation papers were carefully reviewed and selected from over 63 submissions. They focus on practical aspects of multiagent systems and cover topics such as agent communication, agent cooperation and negotiation, agent reasoning, agent-based simulation, mobile and semantic agents, agent technologies for service computing, agent-based system development, ServAgents workshop, IAHC workshop, and PRACSYS workshop.


Efficient Coordination Techniques for Non-deterministic Multi-agent Systems Using Distributed Constraint Optimization

Efficient Coordination Techniques for Non-deterministic Multi-agent Systems Using Distributed Constraint Optimization
Author:
Publisher:
Total Pages:
Release: 2009
Genre: Constrained optimization
ISBN: 9781109386448

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The Distributed Constraint Optimization Problem (DCOP) framework is a recent approach to coordination, reasoning, and teamwork within a multi-agent system (MAS). DCOP extends from the traditional AI approach of constraint satisfaction. DCOP supports aspects of privacy, autonomy, robustness, and distribution of computation and observation for MAS that are unavailable in centralized solutions. Recently several algorithms have been proposed to solve general DCOPs, generating both complete, optimal solutions (ADOPT, DPOP) and approximate solutions (DBA, DSA, and LS-DPOP). In addition, many problem domains have been mapped into the DCOP formalization, including distributed sensor networks, resource allocation/scheduling, plan coordination, and joint policy coordination. Unfortunately, the complexity of current DCOP algorithms severely limits their applicability to interesting, large-scale problems. In addition, many real-world problems cannot be represented under the current DCOP model because it requires deterministic constraint outcomes. This dissertation work improves and extends the DCOP framework for complex MAS domains. This work contributes to three main areas: scalable DCOP for large problems, uncertainty reasoning using DCOP, and application of DCOP to real-world problems. This work contributes new algorithms, new problem domain mappings, new representation models, novel integrated solutions to real-world problems, as well as challenges for future applications of MAS coordination techniques.


Multiagent Systems, second edition

Multiagent Systems, second edition
Author: Gerhard Weiss
Publisher: MIT Press
Total Pages: 917
Release: 2016-10-28
Genre: Computers
ISBN: 0262533871

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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


Multiagent Systems

Multiagent Systems
Author: Gerhard Weiss
Publisher: MIT Press
Total Pages: 652
Release: 1999
Genre: Computers
ISBN: 9780262731317

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An introduction to multiagent systems and contemporary distributed artificial intelligence, this text provides coverage of basic topics as well as closely-related ones. It emphasizes aspects of both theory and application and includes exercises of varying degrees of difficulty.