When designing agent systems, it is impossible to foresee all the potential situations an agent may encounter and specify the agents' behaviour optimally in advance. Agents therefore have to learn from and adapt to their environment. This task is even more complex when the agent is situated in an environment that contains other agents with potentially different capabilities and goals. Multi-Agent Learning, i.e., the ability of the agents to learn how to co-operate and compete, becomes crucial in such domains.

The goal of this workshop is to increase awareness and interest in adaptive agent research, encourage collaboration between ML experts and agent system experts, and give a representative overview of current research in the area of adaptive agents. The symposium will serve as an inclusive forum for the discussion on ongoing or completed work in both theoretical and practical issues.

The proposed workshop is the fifth in a series of symposia that have taken place annually since 2001 (see http://www.aamas.net). After these four successful workshops, AAMAS is moving down to the Continent. AAMAS-05 will be held at the University of Paris 6 during the third week of March.

All accepted papers are published in Symposia proceedings. The best papers from the first AAMAS Symposia have been published in two Springer LNAI books, and we plan to publish a follow-up volume including papers from the fifth AAMAS Symposium.