Two models of social learning in networks, with concepts drawn from economics and physics

Kalyan Chatterjee; Souvik Roy

doi:10.1140/epjst/e2016-60205-9

Two models of social learning in networks, with concepts drawn from economics and physics

Kalyan Chatterjee, Souvik Roy

Economics

Research output: Contribution to journal › Article › peer-review

Abstract

In this paper, we consider the status of economics as a science, especially as compared to the most successful of sciences, physics, and formulate this in terms of the Popperian notion of criticisability (an extension of his earlier falsifiability demarcation criterion between science and other studies). We then discuss how methods having some similarity to models prevalent in physics might help elucidate dynamic analyses of heuristic learning in economics, though each of the two felds has a unique conceptual framework.

Original language	English (US)
Pages (from-to)	3151-3157
Number of pages	7
Journal	European Physical Journal: Special Topics
Volume	225
Issue number	17-18
DOIs	https://doi.org/10.1140/epjst/e2016-60205-9
State	Published - Dec 1 2016

All Science Journal Classification (ASJC) codes

General Materials Science
General Physics and Astronomy
Physical and Theoretical Chemistry

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Two models of social learning in networks, with concepts drawn from economics and physics

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