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Frequency: Monthly
ISSN: 1549-3636 (Print)
ISSN: 1552-6607 (Online)
Research Article Open Access

A New Model for Multi-agent Case-base Reasoning Systems

Abdel Badeea Salem1, Aldahoud Ali2 and Ibrahiem M. M. El Emary3
  • 1 Ain Shams University, Egypt
  • 2 Al Zaytoonah University, Jordan
  • 3 Amman Al Ahliyya University, Jordan

Abstract

Multi-Agent Systems (MASs) and Case-Based Reasoning (CBR) are two recent and hot paradigms in artificial intelligence field. CBR is a reasoning methodology based on old experience reasoning or similarity-based reasoning while MAS is a new paradigm to organize AI applications. CBR offers multi-agent systems the capability of autonomously learning from experience. This study examines the integration of CBR, MASs and Expert Systems (ESs). In addition, it presents a knowledge-based model of multi-agent CBR systems from both a logical and a knowledge-based viewpoint.

Journal of Computer Science
Volume 1 No. 2, 2005, 96-98

DOI: https://doi.org/10.3844/jcssp.2005.96.98

Published On: 19 October 2005

How to Cite: Salem, A. B., Ali, A. & El Emary, I. M. M. (2005). A New Model for Multi-agent Case-base Reasoning Systems. Journal of Computer Science, 1(2), 96-98. https://doi.org/10.3844/jcssp.2005.96.98

Open AccessCopyright: © 2005 Abdel Badeea Salem, Aldahoud Ali and Ibrahiem M. M. El Emary. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Keywords

  • Multi-agent systems
  • case-based reasoning systems
  • multi-agent CBR system