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

J. Britanik, M. Marefat

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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. Our approach described here introduces the concept of cooperative case-based reasoning, where a case-based system may interact with another case-based system or other knowledge based system io acquire the missing knowledge it needs to solve a problem. The basic mechanism by which this knowledge transfer takes place is the knowledge interface. The knowledge interface translaies 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.

Original languageEnglish (US)
Title of host publicationProceedings - 4th Annual Conference on AI, Simulation, and Planning in High Autonomy Systems, AIS 1993
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages295-301
Number of pages7
ISBN (Electronic)0818640200, 9780818640209
DOIs
StatePublished - 1993
Event4th Annual Conference on AI, Simulation, and Planning in High Autonomy Systems, AIS 1993 - Tucson, United States
Duration: Sep 20 1993Sep 22 1993

Publication series

NameProceedings - 4th Annual Conference on AI, Simulation, and Planning in High Autonomy Systems, AIS 1993

Conference

Conference4th Annual Conference on AI, Simulation, and Planning in High Autonomy Systems, AIS 1993
Country/TerritoryUnited States
CityTucson
Period9/20/939/22/93

ASJC Scopus subject areas

  • Artificial Intelligence
  • Hardware and Architecture
  • Information Systems and Management
  • Media Technology
  • Control and Optimization
  • Modeling and Simulation

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