The program of the Symposium can be viewed here . Abstracts of the accepted papers are also available online. In recent years, Intelligent agents and multi-agent systems have become a highly active area of AI research. When designing agent systems, it is impossible to foresee all the potential situations an agent may encounter and specify an agent behavior optimally in advance.
Agents therefore have to learn from and adapt to their environment.
This task is even more complex when nature is not the only source of uncertainty, and the agent is situated in an environment that contains other agents with potentially different capabilities, goals, and beliefs. Multi-Agent Learning, i.e., the ability of the agents to learn how to cooperate and compete, becomes crucial in such domains. The goal of this symposium 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. Christophe Giraud-Carrier , Department of Computer Science, University of Bristol.