Peer-Reviewed Journal Details
Mandatory Fields
O'Donoghue D.;Bohan A.;Keane M.
2006
December
New Generation Computing
Seeing things: Inventive reasoning with geometric analogies and topographic maps
Published
()
Optional Fields
Attribute matching Creative interpretation Geometric proportional analogies Intelligent systems Topographic maps
24
3
267
288
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 structure mapping theory with an attribute matching 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. © Ohmsha, Ltd. 2006.
0288-3635
10.1007/BF03037335
Grant Details