Frontiers in Psychology 6 (2015)
There has been a probabilistic turn in contemporary cognitive science. Far and away, most of the work in this vein is Bayesian, at least in name. Coinciding with this development, philosophers have increasingly promoted Bayesianism as the best normative account of how humans ought to reason. In this paper, we make a push for exploring the probabilistic terrain outside of Bayesianism. Non-Bayesian, but still probabilistic, theories provide plausible competitors both to descriptive and normative Bayesian accounts. We argue for this general idea via recent work on explanationist models of updating, which are fundamentally probabilistic but assign a substantial, non-Bayesian role to explanatory considerations.
|Keywords||Bayesianism explanation updating inference probability|
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Citations of this work BETA
Instruction in Information Structuring Improves Bayesian Judgment in Intelligence Analysts.David R. Mandel - 2015 - Frontiers in Psychology 6.
Inference to the Best Explanation Made Incoherent.Nevin Climenhaga - 2017 - Journal of Philosophy 114 (5):251-273.
Comprehension and Computation in Bayesian Problem Solving.Eric D. Johnson & Elisabet Tubau - 2015 - Frontiers in Psychology 6.
Can There Be a Bayesian Explanationism? On the Prospects of a Productive Partnership.Frank Cabrera - 2017 - Synthese 194 (4):1245–1272.
Editorial: Improving Bayesian Reasoning: What Works and Why?David R. Mandel & Gorka Navarrete - 2015 - Frontiers in Psychology 6.
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