Adaptive Agents and Multi-Agent Systems II 适应性代理与多代理系统 II：适应与多代理学习

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

GSdel Machines: Towards a Technical Justification of Consciousness
Postext - A Mind for Society
Comparing Resource Sharing with Information Exchange in Co-operative Agents, and the Role of Environment Structure
Baselines for Joint-Action Reinforcement Learning of Coordination in Cooperative Multi-agent Systems
SMART (Stochastic Model Acquisition with ReinforcemenT) Learning
Agents: A Preliminary Report
Towards Time Management Adaptability in Multi-agent Systems
Learning to Coordinate Using Commitment Sequences in Cooperative
Multi-agent Systems
Reinforcement Learning of Coordination in Heterogeneous Cooperative
Multi-agent Systems
Evolving the Game of Life
The Strategic Control of an Ant-Based Routing System Using Neural
Net Q-Learning Agents
Dynamic and Distributed Interaction Protocols
Advice-Exchange Between Evolutionary Algorithms and Reinforcement
Learning Agents: Experiments in the Pursuit Domain
Evolving Strategies for Agents in the Iterated Prisoner's Dilemma in Noisy Environments
Experiments in Subsymbolic Action Planning with Mobile Robots
Robust Online Reputation Mechanism by Stochastic Approximation
Learning Multi-agent Search Strategies
Combining Planning with Reinforcement Learning for Multi-robot Task Allocation
Multi-agent Reinforcement Learning in Stochastic Single and Multi-stage Games
Towards Adaptive Role Selection for Behavior-Based Agents
Author Index