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ORCIDAdaptive Agents and Multi-Agents Systems (AAMAS) II (2005)
- Daniel Kudenko, Dimitar Kazakov, Eduardo Alonso:
Adaptive Agents and Multi-Agent Systems II: Adaptation and Multi-Agent Learning. Lecture Notes in Computer Science 3394, Springer 2005, ISBN 3-540-25260-6 - Jürgen Schmidhuber:
Gödel Machines: Towards a Technical Justification of Consciousness. 1-23 - Avishalom Shalit, Tom Erez, Anna Deters, Uri Hershberg
, Eran Shir, Sorin Solomon:
Postext - A Mind for Society. 24-40 - Mark Bartlett, Dimitar Kazakov:
Comparing Resource Sharing with Information Exchange in Co-operative Agents, and the Role of Environment Structure. 41-54 - Martin Carpenter, Daniel Kudenko:
Baselines for Joint-Action Reinforcement Learning of Coordination in Cooperative Multi-agent Systems. 55-72 - Christopher Child, Kostas Stathis:
SMART (Stochastic Model Acquisition with ReinforcemenT) Learning Agents: A Preliminary Report. 73-87 - Alexander Helleboogh, Tom Holvoet, Danny Weyns, Yolande Berbers:
Towards Time Management Adaptability in Multi-agent Systems. 88-105 - Spiros Kapetanakis, Daniel Kudenko, Malcolm J. A. Strens:
Learning to Coordinate Using Commitment Sequences in Cooperative Multi-agent Systems. 106-118 - Spiros Kapetanakis, Daniel Kudenko:
Reinforcement Learning of Coordination in Heterogeneous Cooperative Multi-agent Systems. 119-131 - Dimitar Kazakov, Matthew Sweet:
Evolving the Game of Life. 132-146 - David Legge:
The Strategic Control of an Ant-Based Routing System Using Neural Net Q-Learning Agents. 147-166 - Jarred McGinnis, David Robertson:
Dynamic and Distributed Interaction Protocols. 167-184 - Luís Nunes, Eugénio C. Oliveira:
Advice-Exchange Between Evolutionary Algorithms and Reinforcement Learning Agents: Experiments in the Pursuit Domain. 185-204 - Colm O'Riordan:
Evolving Strategies for Agents in the Iterated Prisoner's Dilemma in Noisy Environments. 205-215 - John Pisokas, Ulrich Nehmzow:
Experiments in Subsymbolic Action Planning with Mobile Robots. 216-229 - Takamichi Sakai, Kenji Terada, Tadashi Araragi:
Robust Online Reputation Mechanism by Stochastic Approximation. 230-244 - Malcolm J. A. Strens:
Learning Multi-agent Search Strategies. 245-259 - Malcolm J. A. Strens, Neil Windelinckx:
Combining Planning with Reinforcement Learning for Multi-robot Task Allocation. 260-274 - Katja Verbeeck, Ann Nowé, Maarten Peeters, Karl Tuyls:
Multi-agent Reinforcement Learning in Stochastic Single and Multi-stage Games. 275-294 - Danny Weyns, Kurt Schelfthout, Tom Holvoet, Olivier Glorieux:
Towards Adaptive Role Selection for Behavior-Based Agents. 295-312
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