RULE OPTIMIZING TECHNIQUE MOTIVATED BY HUMAN CONCEPT FORMATION

Fedja Hadzic, Tharam S. Dillon

Abstract

In this paper we present a rule optimizing technique motivated by the psychological studies of human concept learning. The technique allows for reasoning to happen at both higher levels of abstraction and lower level of detail in order to optimize the rule set. Information stored at the higher level allows for optimizing processes such as rule splitting, merging and deleting, while the information stored at the lower level allows for determining the attribute relevance for a particular rule.

References

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Paper Citation


in Harvard Style

Hadzic F. and S. Dillon T. (2008). RULE OPTIMIZING TECHNIQUE MOTIVATED BY HUMAN CONCEPT FORMATION . In Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008) ISBN 978-989-8111-18-0, pages 31-36. DOI: 10.5220/0001068300310036


in Bibtex Style

@conference{biosignals08,
author={Fedja Hadzic and Tharam S. Dillon},
title={RULE OPTIMIZING TECHNIQUE MOTIVATED BY HUMAN CONCEPT FORMATION},
booktitle={Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008)},
year={2008},
pages={31-36},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001068300310036},
isbn={978-989-8111-18-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008)
TI - RULE OPTIMIZING TECHNIQUE MOTIVATED BY HUMAN CONCEPT FORMATION
SN - 978-989-8111-18-0
AU - Hadzic F.
AU - S. Dillon T.
PY - 2008
SP - 31
EP - 36
DO - 10.5220/0001068300310036