Adaptive Agents and Multi-Agent Systems II: Adaptation and Multi-Agent Learning

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Daniel Kudenko, Dimitar Kazakov, Eduardo Alonso
Springer Science & Business Media, Mar 4, 2005 - Computers - 313 pages

Adaptive agents and multi-agent systems is an emerging and exciting interdisciplinary area of research and development involving artificial intelligence, software engineering, and developmental biology, as well as cognitive and social science.

This book presents 17 revised and carefully reviewed papers taken from two workshops on the topic as well as 2 invited papers by leading researchers in the area. The papers deal with various aspects of machine learning, adaptation, and evolution in the context of agent systems and autonomous agents.

 

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Contents

Towards a Technical Justification of Consciousness
1
Postext A Mind for Society
24
Comparing Resource Sharing with Information Exchange in Cooperative Agents and the Role of Environment Structure
41
Baselines for JointAction Reinforcement Learning of Coordination in Cooperative Multiagent Systems
55
A Preliminary Report
73
Towards Time Management Adaptability in Multiagent Systems
88
Learning to Coordinate Using Commitment Sequences in Cooperative Multiagent Systems
106
Reinforcement Learning of Coordination in Heterogeneous Cooperative Multiagent Systems
119
Experiments in the Pursuit Domain
185
Evolving Strategies for Agents in the Iterated Prisoners Dilemma in Noisy Environments
205
Experiments in Subsymbolic Action Planning with Mobile Robots
216
Robust Online Reputation Mechanism by Stochastic Approximation
230
Learning Multiagent Search Strategies
245
Combining Planning with Reinforcement Learning for Multirobot Task Allocation
260
Multiagent Reinforcement Learning in Stochastic Single and Multistage Games
275
Towards Adaptive Role Selection for BehaviorBased Agents
295

Evolving the Game of Life
132
The Strategic Control of an AntBased Routing System Using Neural Net QLearning Agents
147
Dynamic and Distributed Interaction Protocols
167

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