1 July 2003 Pyramid algorithms as models of human cognition
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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.
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Zygmunt Pizlo, Zheng Li, "Pyramid algorithms as models of human cognition", Proc. SPIE 5016, Computational Imaging, (1 July 2003); doi: 10.1117/12.479704; https://doi.org/10.1117/12.479704
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