DocumentCode
3527096
Title
Distributed case-based planning: Multi-agent cooperation for high autonomy
Author
Britanik, J. ; Marefat, M.
Author_Institution
Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
fYear
1993
fDate
20-22 Sep 1993
Firstpage
295
Lastpage
301
Abstract
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
Keywords
case-based reasoning; cooperative systems; knowledge based systems; planning (artificial intelligence); problem solving; software agents; Multi-agent cooperation; case-based reasoning systems; cooperative case-based reasoning; high autonomy; human intervention; knowledge interface; knowledge transfer; knowledge-based systems; missing knowledge; problem solving; Humans; Knowledge based systems; Knowledge transfer; Libraries; Problem-solving;
fLanguage
English
Publisher
ieee
Conference_Titel
AI, Simulation, and Planning in High Autonomy Systems, 1993. Integrating Virtual Reality and Model-Based Environments. Proceedings. Fourth Annual Conference
Conference_Location
Tucson, AZ
Print_ISBN
0-8186-4020-0
Type
conf
DOI
10.1109/AIHAS.1993.410555
Filename
410555
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