An Agent Approach for Case Adaptation
نویسنده
چکیده
This article delineates an agent system whose structure and control are based on spatial principles. The agent system is used to adapt a retrieved case to a problem domain. This work is part of the FABEL i project which aims to integrate model-based and case-based approaches. An interactive human-agent problem solving scenario is assumed where the human observer activates various agent systems, continously accepting, modifying or rejecting the suggestions by agents.
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تاریخ انتشار 1995