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

by Eduardo Alonso (editor)

Learning, Co-operation, and Communication.- Cooperative Multiagent Learning.- Reinforcement Learning Approaches to Coordination in Cooperative Multi-agent Systems.- Cooperative Learning Using Advice Exchange.- Environmental Risk, Cooperation, and Communication Complexity.- Multiagent Learning for Open A Study in Opponent Classification.- Situated Cognition and the Role of Multi-agent Models in Explaining Language Structure.- Emergence and Evolution in Multi-agent Systems.- Adapting Populations of Agents.- The Evolution of Communication Systems by Adaptive Agents.- An Agent Architecture to Design Self-Organizing Principles and Application.- Evolving Preferences among Emergent Groups of Agents.- Structuring Agents for Adaptation.- Stochastic Simulation of Inherited Kinship-Driven Altruism.- Theoretical Foundations of Adaptive Agents.- Learning in Multiagent An Introduction from a Game-Theoretic Perspective.- The Implications of Philosophical Foundations for Knowledge Representation and Learning in Agents.- Using Cognition and Learning to Improve Agents' Reactions.- Tree-Based State Generalization with Temporally Abstract Actions.- Using Landscape Theory to Measure Learning Difficulty for Adaptive Agents.- Relational Reinforcement Learning for Agents in Worlds with Objects.

344 pages, Paperback

First published April 23, 2003