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Unsharp Sharpness

Bibliographic Data

ID20142873
AuthorsNils-Eric Sahlin (0000-0002-7240-371X, University of Pittsburgh), Nils‐Eric Sahlin (Center for Philosophy of Science University of Pittsburgh), Paul Weirich (0000-0002-1074-6565, Center for Philosophy of Science University of Pittsburgh)
Year2014
Volume80
Issue1
Pages100-103
Publication date2014-02-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueTheoria (JOURNAL)
Journal identifiersISSN: 0040-5825 • E-ISSN: 1755-2567
PublisherWiley (PUBLISHER • GB)
DOI10.1111/theo.12025
OpenAlexW2318924864
LanguageEN
Citations received5
References cited5

In a recent, thought‐provoking paper A dam E lga ((2010) argues against unsharp – e.g., indeterminate, fuzzy and unreliable – probabilities. Rationality demands sharpness, he contends, and this means that decision theories like L evi's (1980, 1988), G ärdenfors and S ahlin's (1982), and K yburg's (1983), though they employ different decision rules, face a common, and serious, problem. This article defends the rule to maximize minimum expected utility against E lga's objection

Epistemology · Face (sociological concept) · Fuzzy logic · Indeterminate · Mathematical economics · Rationality · Social science · Sociology · Artificial Intelligence · Bayesian Modeling and Causal Inference · Computer Science · Decision-Making and Behavioral Economics · Epistemology, Ethics, and Metaphysics · Mathematics · Philosophy

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    Open Access•Jon Marc Asper•Synthese•2021

  • Maximal Cluelessness

    Open Access•Andreas L Mogensen•The Philosophical Quarterly•2020

  • Unreliable probabilities, risk taking, and decision making

    Open Access•Peter G rdenfors, Peter G�rdenfors et al.•Synthese•1982

Unique citing works5
Citations per year0,71
Citation span2019 - 2022 (4)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 5

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