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The Functional Complexity of Scientific Evidence
Author(s) -
Brown Matthew J.
Publication year - 2015
Publication title -
metaphilosophy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.475
H-Index - 35
eISSN - 1467-9973
pISSN - 0026-1068
DOI - 10.1111/meta.12123
Subject(s) - epistemology , functionalism (philosophy of mind) , pragmatism , philosophy of science , philosophy , certainty , scientific evidence , harm , value (mathematics) , computer science , psychology , social psychology , machine learning
This article sketches the main features of traditional philosophical models of evidence, indicating idealizations in such models that it regards as doing more harm than good. It then proceeds to elaborate on an alternative model of evidence that is functionalist, complex, dynamic, and contextual, a view the author calls dynamic evidential functionalism ( DEF ). This alternative builds on insights from philosophy of scientific practice, K uhnian philosophy of science, pragmatist epistemology, philosophy of experimentation, and functionalist philosophy of mind. Along the way, the article raises concerns about the total evidence condition, requirements of certainty or incorrigibility on evidence, and accounts that restrict the type of things that can serve as evidence (to, for example, sense data, facts about particulars). DEF can also help us see the special value of novel predictions and experiments as evidence, as well as help us think about how to critically evaluate the putative evidence to determine whether it is evidence.

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