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

✍ Scribed by Jürgen Schmidhuber (auth.), Daniel Kudenko, Dimitar Kazakov, Eduardo Alonso (eds.)

Publisher: Springer-Verlag Berlin Heidelberg
Year: 2005
Tongue: English
Leaves: 320
Series: Lecture Notes in Computer Science 3394 : Lecture Notes in Artificial Intelligence
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages -
Gödel Machines: Towards a Technical Justification of Consciousness....Pages 1-23
Postext – A Mind for Society....Pages 24-40
Comparing Resource Sharing with Information Exchange in Co-operative Agents, and the Role of Environment Structure....Pages 41-54
Baselines for Joint-Action Reinforcement Learning of Coordination in Cooperative Multi-agent Systems....Pages 55-72
SMART (Stochastic Model Acquisition with ReinforcemenT) Learning Agents: A Preliminary Report....Pages 73-87
Towards Time Management Adaptability in Multi-agent Systems....Pages 88-105
Learning to Coordinate Using Commitment Sequences in Cooperative Multi-agent Systems....Pages 106-118
Reinforcement Learning of Coordination in Heterogeneous Cooperative Multi-agent Systems....Pages 119-131
Evolving the Game of Life....Pages 132-146
The Strategic Control of an Ant-Based Routing System Using Neural Net Q-Learning Agents....Pages 147-166
Dynamic and Distributed Interaction Protocols....Pages 167-184
Advice-Exchange Between Evolutionary Algorithms and Reinforcement Learning Agents: Experiments in the Pursuit Domain....Pages 185-204
Evolving Strategies for Agents in the Iterated Prisoner’s Dilemma in Noisy Environments....Pages 205-215
Experiments in Subsymbolic Action Planning with Mobile Robots....Pages 216-229
Robust Online Reputation Mechanism by Stochastic Approximation....Pages 230-244
Learning Multi-agent Search Strategies....Pages 245-259
Combining Planning with Reinforcement Learning for Multi-robot Task Allocation....Pages 260-274
Multi-agent Reinforcement Learning in Stochastic Single and Multi-stage Games....Pages 275-294
Towards Adaptive Role Selection for Behavior-Based Agents....Pages 295-312
Back Matter....Pages -

✦ Subjects

Artificial Intelligence (incl. Robotics); Software Engineering; Computer Communication Networks; Logics and Meanings of Programs; Programming Languages, Compilers, Interpreters; User Interfaces and Human Computer Interaction

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