Learning to Design Together

Dan L. Grecu and David C. Brown

The paper presents experiments in learning in a multi-agent design system. Inductive techniques are used to construct models of other agents’ behaviors, by relating design requirements to design proposals. The models are used to anticipate future design proposals and reduce the amount of interaction needed to find solutions for parametric design problems.


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