Epistemic Landscapes, Optimal Search and the Division of Cognitive Labour

Jason McKenzie Alexander, Johannes Himmelreich, Christopher Thompson

OnderzoeksoutputAcademicpeer review

38 Citaten (Scopus)
258 Downloads (Pure)

Samenvatting

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" (this journal, 2009), 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.
Originele taal-2English
Pagina's (van-tot)424-453
Aantal pagina's29
TijdschriftPhilosophy of Science
Volume82
Nummer van het tijdschrift3
DOI's
StatusPublished - jul-2015

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