The physics of categorization. (6th December 2015)

• Record Type: Journal Article
• Authors: Tamir, Boaz; Neuman, Yair
• Is Part Of: Complexity. Volume 21(2016)Supplement 1
• Page Start: 269
• Page End: 274
• Publication Date: 2015-12-06
• Subjects: categorization -- physics of computation -- Landauer's principle -- Zipf's law -- cognitive computation -- interdisciplinary research PACS numbers; Chaotic behavior in systems -- Periodicals; Complexity (Philosophy) -- Periodicals; 003
• DOI: 10.1002/cplx.21741
• Languages: English
• ISSNs: 1076-2787

Abstract

Abstract : In the context of cognition, categorization is the process through which several elements (i.e., words) are grouped into a single set which by naming becomes an abstraction of its elements. For example, tiger, kitty, and max can be categorized as Cats. In this article, we aim to show how the physical, biological and cognitive dimensions are related in the process of categorization or abstraction through the physics of computation. Drawing on Landauer's principle, we show that the price paid in terms of entropy is higher when grouping elements of low ranking (high probability) than when grouping elements of high ranking (low probability). Therefore, the logic of the cognitive process of abstraction is explained through constraints imposed by memory on the computation of categories. © 2015 Wiley Periodicals, Inc. Complexity 21: 269–274, 2016