Adaptive Agents and Multi-Agents Systems (AAMAS) II (2005)

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