A CONNEXIONIST APPROACH FOR CASE BASED REASONING

Antonio B. Bailón, Miguel Delgado, Eva Gibaja, José María de la Torre

2004

Abstract

Case Based Learning is an approach to automatic learning and reasoning based on the use of the knowledge gained in past experiences to solve new problems. To suggest a solution for a new problem it is necessary to search for similar problems in the base of problems for which we know their solutions. After selecting one or more similar problems their solutions are used to elaborate a suggested solution for the new problem. Associative memories recover patterns based on their similarity with a new input pattern. This behaviour made them useful to store the base of cases of a Case Based Reasoning system. In this paper we analyze the use of a special model of associative memory named CCLAM (Bailón et al., 2002) with this objective. To test the potentiality of the tool we will discuss its use in a particular application: the detection of the “health” of a company.

References

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Paper Citation


in Harvard Style

B. Bailón A., Delgado M., Gibaja E. and María de la Torre J. (2004). A CONNEXIONIST APPROACH FOR CASE BASED REASONING . In Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 972-8865-00-7, pages 369-374. DOI: 10.5220/0002641403690374


in Bibtex Style

@conference{iceis04,
author={Antonio B. Bailón and Miguel Delgado and Eva Gibaja and José María de la Torre},
title={A CONNEXIONIST APPROACH FOR CASE BASED REASONING},
booktitle={Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2004},
pages={369-374},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002641403690374},
isbn={972-8865-00-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - A CONNEXIONIST APPROACH FOR CASE BASED REASONING
SN - 972-8865-00-7
AU - B. Bailón A.
AU - Delgado M.
AU - Gibaja E.
AU - María de la Torre J.
PY - 2004
SP - 369
EP - 374
DO - 10.5220/0002641403690374