Philosophy of Science 82 (3):424-453, (2015)

Authors
Johannes Himmelreich
Syracuse University
Christopher Jeremy Thompson
University of Tromsø
Abstract
This article examines two questions about scientists’ search for knowledge. First, which search strategies generate discoveries effectively? Second, is it advantageous to diversify search strategies? We argue pace Weisberg and Muldoon, “Epistemic Landscapes and the Division of Cognitive Labor”, that, on the first question, a search strategy that deliberately seeks novel research approaches need not be optimal. On the second question, we argue they have not shown epistemic reasons exist for the division of cognitive labor, identifying the errors that led to their conclusions. Furthermore, we generalize the epistemic landscape model, showing that one should be skeptical about the benefits of social learning in epistemically complex environments.
Keywords Social Epistemology  Epistemic division of labor  agent-based modelling  social structure of science  fitness landscapes  NK model  social learning  wisdom of crowds  diversity
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Reprint years 2015
DOI 10.1086/681766
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References found in this work BETA

The Role of the Priority Rule in Science.Michael Strevens - 2003 - Journal of Philosophy 100 (2):55-79.

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Citations of this work BETA

Value of Cognitive Diversity in Science.Samuli Pöyhönen - 2017 - Synthese 194 (11):4519-4540.
Centralized Funding and Epistemic Exploration.Shahar Avin - 2019 - British Journal for the Philosophy of Science 70 (3):629-656.
Centralized Funding and Epistemic Exploration.Shahar Avin - 2017 - British Journal for the Philosophy of Science:axx059.

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