Learning When to Collaborate among Learning Agents

  title={Learning When to Collaborate among Learning Agents},
  author={Santiago Onta{\~n}{\'o}n and Enric Plaza},
Multiagent systems o er a new paradigm where learning techniques can be useful. We focus on the application of lazy learning to multiagent systems where each agents learns individually and also learns when to cooperate in order to improve its performance. We show some experiments in which CBR agents use an adapted version of LID (Lazy Induction of Descriptions), a CBR method for classi cation. We discuss a collaboration policy (called Bounded Counsel) among agents that improves the agents… CONTINUE READING
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