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NGC
2006
Springer

Seeing Things: Inventive Reasoning with Geometric Analogies and Topographic Maps

13 years 7 months ago
Seeing Things: Inventive Reasoning with Geometric Analogies and Topographic Maps
This paper examines two seemingly unrelated qualitative spatial reasoning domains; geometric proportional analogies and topographic (landcover) maps. We present a Structure Matching algorithm that combines Gentner's structure mapping theory with an attribute matching process. We use structure matching to solve geometric analogy problems that are centered on manipulating attribute information, such as colors and patterns. Structure matching is also used to creatively interpret topographic (land-cover) maps, serving to add a wealth of semantic knowledge and providing a far richer interpretation of the raw data. We return to the geometric proportional analogy problems and identify alternate attribute matching processes that are required to solve different categories of geometric proportional analogy problems. Finally, we assess some implications for computationally creative and inventive models.
Diarmuid P. O'Donoghue, Amy J. Bohan, Mark T. Kean
Added 14 Dec 2010
Updated 14 Dec 2010
Type Journal
Year 2006
Where NGC
Authors Diarmuid P. O'Donoghue, Amy J. Bohan, Mark T. Keane
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