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Authors: Antonio B. Bailón 1 ; Miguel Delgado 1 ; Eva Gibaja 1 and José María de la Torre 2

Affiliations: 1 E.T.S. Ingeniería Informática, Universidad de Granada, Spain ; 2 Facultad de Ciencias Económicas, Universidad de Granada, Spain

Keyword(s): Case Based Reasoning, Associative Memories, Connexionist Model

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Case-Based Reasoning ; Enterprise Information Systems ; Pattern Recognition ; Symbolic Systems ; Theory and Methods

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.

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Paper citation in several formats:
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; ISSN 2184-4992, SciTePress, pages 369-374. DOI: 10.5220/0002641403690374

@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},
issn={2184-4992},
}

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
IS - 2184-4992
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
PB - SciTePress

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