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

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Keywords

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