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Autonomous Dynamic Reconfiguration in Multi-Agent Systems : Improving the Quality and Efficiency of Collaborative Problem Solving - Markus Hannebauer

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Autonomous Dynamic Reconfiguration in Multi-Agent Systems

Improving the Quality and Efficiency of Collaborative Problem Solving

By: Markus Hannebauer

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Paperback | 6 November 2002

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312 Pages

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22.86 x 15.88 x 1.91

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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.

Industry Reviews

From the reviews:

"This book deals with a new approach to collaborative problem solving. ... The necessary steps to a practical application of this approach are elaborated in a very impressive way. ... One special property of this book and this project is the continuous and consistent use of one example, the scheduling of medical appointments. ... A comprehensive list of references and the usual high quality of the series make, together with the contents, this book a must for all AI researchers in this area." (Christian Posthoff, Zentralblatt MATH, Vol. 1025, 2003)

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Introduction
Overview	p. 3
Basics of Collaborative Problem Solving	p. 9
Theoretical Foundations
Distributed Constraint Problems - A Model for Collaborative Problem Solving	p. 27
Autonomous Dynamic Reconfiguration - Improving Collaborative Problem Solving	p. 59
Practical Concepts
Multi-agent System Infrastructure	p. 95
External Constraint Problem Solving	p. 115
Composable BDI Agents	p. 139
Internal Constraint Problem Solving	p. 167
Controlling Agent Melting and Agent Splitting	p. 191
Assessment
Evaluation	p. 217
Conclusion and Future Work	p. 235
Appendix
Symbols and Abbreviations	p. 241
An XML-Encoded Request Message	p. 249
SICStus Prolog Code for Internal Constraint Problem Solving	p. 251
Initialization of the Hospital Scenario Generator	p. 259
References	p. 265
Subject Index	p. 281
Table of Contents provided by Blackwell. All Rights Reserved.

Autonomous Dynamic Reconfiguration in Multi-Agent Systems

Improving the Quality and Efficiency of Collaborative Problem Solving

At a Glance

Paperback

Industry Reviews

Shipping

How to return your order

Defective items

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