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• 
  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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