Cookies?
Library Header Image
LSE Research Online LSE Library Services

Preferential attachment and the search for successful theories

Alexander, J. McKenzie (2013) Preferential attachment and the search for successful theories. Philosophy of Science, 80 (5). pp. 769-782. ISSN 0031-8248

Full text not available from this repository.

Abstract

Multiarm bandit problems have been used to model the selection of competing scientific theories by boundedly rational agents. In this paper, I define a variable-arm bandit problem, which allows the set of scientific theories to vary over time. I show that Roth-Erev reinforcement learning, which solves multiarm bandit problems in the limit, cannot solve this problem in a reasonable time. However, social learning via preferential attachment combined with individual reinforcement learning which discounts the past, does.

Item Type: Article
Official URL: http://www.press.uchicago.edu/ucp/journals/journal...
Additional Information: © 2013 Philosophy of Science Association
Library of Congress subject classification: B Philosophy. Psychology. Religion > B Philosophy (General)
Q Science > Q Science (General)
Sets: Departments > Philosophy, Logic and Scientific Method
Rights: http://www.lse.ac.uk/library/usingTheLibrary/academicSupport/OA/depositYourResearch.aspx
Date Deposited: 09 Aug 2012 07:29
URL: http://eprints.lse.ac.uk/45283/

Actions (login required)

Record administration - authorised staff only Record administration - authorised staff only