Crean, Brian P. and O'Donoghue, Diarmuid (2001) Features of Structure for Anaology Retrieval. In: AIA, ACA 2001 - Artificial Intelligence and Applications, Advances in Computer Applications. ACTA Press, pp. 295-300. ISBN 0889863180

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Abstract

Spontaneously retrieving analogies from presented problem data is an important phase of analogical reasoning, influencing many related cognitive processes. Existing models have focused on semantic similarity, but structural similarity is also a necessary requirement of any analogical comparison. We present a new technique for performing structure based analogy retrieval. This is founded upon derived attributes that explicitly encode elementary structural qualities of a domains representation. Crucially, these attributes are unrelated to the semantic content of the domain information, and encode only its structural qualities. We describe a number of derived attributes and detail the computation of the corresponding attribute values. We examine our models operation, detailing how it retrieves both semantically related and unrelated domains. We also present a comparison of our algorithms performance with existing models, using a structure rich but semantically impoverished domain

Item Type:	Book Section
Keywords:	Cognitive Modeling; Case-Based Reasoning; Analogical Retrieval;
Academic Unit:	Faculty of Science and Engineering > Computer Science
Item ID:	10365
Depositing User:	Dr. Diarmuid O'Donoghue
Date Deposited:	04 Jan 2019 14:54
Publisher:	ACTA Press
Refereed:	Yes
URI:
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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