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Proceedings Paper

Pyramid algorithms as models of human cognition
Author(s): Zygmunt Pizlo; Zheng Li
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Paper Abstract

There is growing body of experimental evidence showing that human perception and cognition involves mechanisms that can be adequately modeled by pyramid algorithms. The main aspect of those mechanisms is hierarchical clustering of information: visual images, spatial relations, and states as well as transformations of a problem. In this paper we review prior psychophysical and simulation results on visual size transformation, size discrimination, speed-accuracy tradeoff, figure-ground segregation, and the traveling salesman problem. We also present our new results on graph search and on the 15-puzzle.

Paper Details

Date Published: 1 July 2003
PDF: 12 pages
Proc. SPIE 5016, Computational Imaging, (1 July 2003); doi: 10.1117/12.479704
Show Author Affiliations
Zygmunt Pizlo, Purdue Univ. (United States)
Zheng Li, Purdue Univ. (United States)

Published in SPIE Proceedings Vol. 5016:
Computational Imaging
Charles A. Bouman; Robert L. Stevenson, Editor(s)

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