@article {10.3844/jcssp.2005.96.98,
article_type = {journal},
title = {A New Model for Multi-agent Case-base Reasoning Systems},
author = {Salem, Abdel Badeea and Ali, Aldahoud and El Emary, Ibrahiem M. M.},
volume = {1},
number = {2},
year = {2005},
month = {Oct},
pages = {96-98},
doi = {10.3844/jcssp.2005.96.98},
url = {https://thescipub.com/abstract/jcssp.2005.96.98},
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 = {Journal of Computer Science},
publisher = {Science Publications}
}