Learning Organizational Roles in a Heterogeneous Multiagent System

M. V. Nagendraprasad, Victor Lesser, and Susan Lander

In this paper, we present a heterogeneous multi-agent system called L-TEAM that highlights the potential for learning as an important tool for acquiring organizational knowledge in heterogeneous multi-agent systems. No single organization is good for all situations and it is almost impossible to anticipate all the situations and provide the agents with capabilities to react to each of them appropriately. L-TEAM is our attempt to study ways to alleviate this enormous knowledge acquisition bottle-neck.

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