Morning session

8:00-8:15	Welcome and introductory remarks
8:15-8:40	A. Ledezma, A. Berlanga and R. Aler   Extracting Knowledge from Reactive Robot Behavior
8:40-9:05	S. Ontanon and E. Plaza   Collaboration Policies for Case-Based Reasoning Agents
9:05-9:30	P.J. Modi and W.M. Shen   Collaborative Multi-Agent Learning for Classification Tasks
9:30-10:00	Coffee break
10:00-10:25	K. Sikorski and T. Balch   Model-Based and Model-Free Learning in Markovian and Non-Markovian Environments
10:25-10:50	P. Stone and R.S. Sutton   Scaling Reinforcement Learning towards Robocup Soccer
10:50-11:15	J. Wellner and W. Dilger   Comparison of Learning to Cooperate and the Evolution of Cooperation
11:15-11:40	R. Mukherjee and S. Sen   Towards a Pareto-Optimal Solution in General-Sum Games
11:40-11:45	D. Shapiro   Value-Driven Agents
11:45-11:50	M. Zinkevich and T. Balch   Using Symmetry in Asymmetric Markov Decision Processes
11:50-11:55	F.C. Cuadrado and J.M. Molina   Dynamical Internal and External Organization in MAS by Swapping Agent Components
11:55-12:00	A. Nowe, K. Verbeek and T. Lenaerts   Learning Agents in a Homo Egualis Society

Afternoon session

1:30-2:25	Invited Speaker: John Laird   A Case Study Comparing Planning and Learning vs. Hand-Coded Knowledge
2:25-2:50	E. Norling   Learning to Notice: Adaptive Models of Human Operators
2:50-2:55	I.A. Letia and F. Craciun   Learning agents with Bayesian Nets to Model Relationships
2:55-3:00	S. Rezaei   Communicating Linguistic Agents
3:00-3:30	Coffee break
3:30-3:55	H. Viktor and H. Arndt   Unsupervised Learning through Cooperative Data Mining Agents
3:55-4:20	M.W. Barley and H. Guesgen   Toward Safe Learning Agents
4:20-5:00	Discussion: What are the special requirements of learning agents?   Wrap-up