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Adaptive Agents and Multi-Agents Systems (AAMAS) III (2007)
- Karl Tuyls

, Ann Nowé, Zahia Guessoum, Daniel Kudenko:
Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning, 5th, 6th, and 7th European Symposium, ALAMAS 2005-2007 on Adaptive and Learning Agents and Multi-Agent Systems, Revised Selected Papers. Lecture Notes in Computer Science 4865, Springer 2008, ISBN 978-3-540-77947-6
revised papers of the European Symposium on Adaptive and Learning Agents and Multi-Agent Systems (ALAMAS), editions 2005, 2006 and 2007, held in Paris, Brussels and Maastricht
- Ana L. C. Bazzan, Denise de Oliveira, Franziska Klügl

, Kai Nagel
:
To Adapt or Not to Adapt - Consequences of Adapting Driver and Traffic Light Agents. 1-14 - Bart van den Broek, Wim Wiegerinck, Bert Kappen:

Optimal Control in Large Stochastic Multi-agent Systems. 15-26 - Lucian Busoniu

, Damien Ernst, Bart De Schutter
, Robert Babuska:
Continuous-State Reinforcement Learning with Fuzzy Approximation. 27-43 - Kai Cai, Jinzhong Niu, Simon Parsons:

Using Evolutionary Game-Theory to Analyse the Performance of Trading Strategies in a Continuous Double Auction Market. 44-59 - Matthew Jon Grounds, Daniel Kudenko:

Parallel Reinforcement Learning with Linear Function Approximation. 60-74 - Matthew Jon Grounds, Daniel Kudenko:

Combining Reinforcement Learning with Symbolic Planning. 75-86 - Enda Howley

, Colm O'Riordan:
Agent Interactions and Implicit Trust in IPD Environments. 87-101 - Michal Jakob, Jan Tozicka, Michal Pechoucek

:
Collaborative Learning with Logic-Based Models. 102-116 - Steven de Jong, Karl Tuyls

, Katja Verbeeck, Nico Roos:
Priority Awareness: Towards a Computational Model of Human Fairness for Multi-agent Systems. 117-128 - Alessandro Lazaric, Enrique Munoz de Cote, Fabio Dercole

, Marcello Restelli
:
Bifurcation Analysis of Reinforcement Learning Agents in the Selten's Horse Game. 129-144 - Nyree Lemmens, Steven de Jong, Karl Tuyls

, Ann Nowé:
Bee Behaviour in Multi-agent Systems. 145-156 - Colm O'Riordan, Humphrey Sorensen:

Stable Cooperation in the N-Player Prisoner's Dilemma: The Importance of Community Structure. 157-168 - Maarten Peeters, Katja Verbeeck, Ann Nowé:

Solving Multi-stage Games with Hierarchical Learning Automata That Bootstrap. 169-187 - Steve Phelps, Kai Cai, Peter McBurney, Jinzhong Niu, Simon Parsons, Elizabeth Sklar:

Auctions, Evolution, and Multi-agent Learning. 188-210 - Arturo Servin, Daniel Kudenko:

Multi-agent Reinforcement Learning for Intrusion Detection. 211-223 - Peter Vrancx, Katja Verbeeck, Ann Nowé:

Networks of Learning Automata and Limiting Games. 224-238 - Michael Wurst:

Multi-agent Learning by Distributed Feature Extraction. 239-254

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