O'Donoghue, Diarmuid and Bohan, Amy and Keane, Mark T. (2006) Seeing Things: Inventive Reasoning with Geometric Analogies and Topographic Maps. New Generation Computing, 24 (3). pp. 267-288. ISSN 0288-3635

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Abstract

This paper examines two seemingly unrelated qualitative spatial reasoning domains; geometric proportional analogies and topographic (land-cover) maps. We present a Structure Matching algorithm that combines Gentner’s structuremapping theory with an attributematching process. We use structure matching to solve geometric analogy problems that involve manipulating attribute information, such as colors and patterns. Structure matching is also used to creatively interpret topographic (land-cover) maps, adding a wealth of semantic knowledge and providing a far richer interpretation of the raw data. We return to the geometric proportional analogies, identify alternate attribute matching processes that are required to solve different categories of problems. Finally, we assess some implications for computationally creative and inventive models.

Item Type:	Article
Additional Information:	Cite as: O’Donoghue, D.P., Bohan, A. & Keane, M.T. New Gener Comput (2006) 24: 267. https://doi.org/10.1007/BF03037335
Keywords:	Intelligent Systems; Geometric Proportional Analogies; Attribute Matching; Topographic Maps; Creative Interpretation;
Academic Unit:	Faculty of Science and Engineering > Computer Science Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG
Item ID:	10343
Identification Number:	https://doi.org/10.1007/BF03037335
Depositing User:	Dr. Diarmuid O'Donoghue
Date Deposited:	20 Dec 2018 17:06
Journal or Publication Title:	New Generation Computing
Publisher:	Springer Verlag
Refereed:	Yes
URI:	https://link.springer.com/
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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