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Distributed case-based planning: Multi-agent cooperation for high autonomy

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2 Author(s)
J. Britanik ; Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA ; M. Marefat

A drawback of typical knowledge-based systems, including case-based reasoning systems, is that human intervention is often unavoidable when there is a lack of knowledge necessary to solve a problem. The concept of cooperative case-based reasoning, where a case-based system may interact with another case-based system or other knowledge-based system to acquire the missing knowledge it needs to solve a problem is introduced. The basic mechanism by which this knowledge transfer takes place is the knowledge interface. The knowledge interface translates information in a knowledge-based system and places it into a globally recognized format; likewise, the knowledge interface converts information in the globally recognized format and places it into the context of the local system

Published in:

AI, Simulation, and Planning in High Autonomy Systems, 1993. Integrating Virtual Reality and Model-Based Environments. Proceedings. Fourth Annual Conference

Date of Conference:

20-22 Sep 1993