Adaptive Agents and Multi-Agent Systems : Adaptation and Multi-Agent Learning - Eduardo Alonso

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Adaptive Agents and Multi-Agent Systems

Adaptation and Multi-Agent Learning

By: Eduardo Alonso (Editor), Daniel Kudenko (Editor), Dimitar Kazakov (Editor)

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Paperback | 23 April 2003

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344 Pages

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24.13 x 15.88 x 1.91

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Adaptive Agents and Multi-Agent Systems is an emerging and exciting interdisciplinary area of research and development involving artificial intelligence, computer science, software engineering, and developmental biology, as well as cognitive and social science.

This book surveys the state of the art in this emerging field by drawing together thoroughly selected reviewed papers from two related workshops; as well as papers by leading researchers specifically solicited for this book. The articles are organized into topical sections on

- learning, cooperation, and communication

- emergence and evolution in multi-agent systems

- theoretical foundations of adaptive agents

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Non-Fiction Computing & I.T.Computer Science Artificial Intelligence Science Computer Programming & Software Development Software Engineering Computer Hardware Network Hardware Kids & Children's Books Educational Material Science Educational Material

Programming & Scripting Languages Reference, Information & Interdisciplinary Subjects Interdisciplinary Studies

Cooperative Multiagent Learning	p. 1
Reinforcement Learning Approaches to Coordination in Cooperative Multi-agent Systems	p. 18
Cooperative Learning Using Advice Exchange	p. 33
Environmental Risk, Cooperation, and Communication Complexity	p. 49
Multiagent Learning for Open Systems: A Study in Opponent Classification	p. 66
Situated Cognition and the Role of Multi-agent Models in Explaining Language Structure	p. 88
Adapting Populations of Agents	p. 110
The Evolution of Communication Systems by Adaptive Agents	p. 125
An Agent Architecture to Design Self-Organizing Collectives: Principles and Application	p. 141
Evolving Preferences among Emergent Groups of Agents	p. 159
Structuring Agents for Adaptation	p. 174
Stochastic Simulation of Inherited Kinship-Driven Altruism	p. 187
Learning in Multiagent Systems: An Introduction from a Game-Theoretic Perspective	p. 202
The Implications of Philosophical Foundations for Knowledge Representation and Learning in Agents	p. 216
Using Cognition and Learning to Improve Agents' Reactions	p. 239
TTree: Tree-Based State Generalization with Temporally Abstract Actions	p. 260
Using Landscape Theory to Measure Learning Difficulty for Adaptive Agents	p. 291
Relational Reinforcement Learning for Agents in Worlds with Objects	p. 306
Author Index	p. 323
Table of Contents provided by Blackwell. All Rights Reserved.

Adaptive Agents and Multi-Agent Systems

Adaptation and Multi-Agent Learning

At a Glance

Paperback

Shipping

How to return your order

Defective items

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