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What are the appropriate axioms of rationality for reasoning under uncertainty with resource-constrained systems?
Coll Helveticum, Switzerland.
City Univ London, UK.
Indiana Univ, USA.ORCID iD: 0000-0002-7594-1871
Linnaeus University, Faculty of Technology, Department of Mathematics.ORCID iD: 0000-0002-9857-0938
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2020 (English)In: Behavioral and Brain Sciences, ISSN 0140-525X, E-ISSN 1469-1825, Vol. 43, article id e2Article in journal, Editorial material (Other academic) Published
Abstract [en]

When constrained by limited resources, how do we choose axioms of rationality? The target article relies on Bayesian reasoning that encounter serious tractability problems. We propose another axiomatic foundation: quantum probability theory, which provides for less complex and more comprehensive descriptions. More generally, defining rationality in terms of axiomatic systems misses a key issue: rationality must be defined by humans facing vague information.

Place, publisher, year, edition, pages
Cambridge University Press, 2020. Vol. 43, article id e2
National Category
Mathematics Psychology
Research subject
Mathematics, Applied Mathematics; Social Sciences, Psychology
Identifiers
URN: urn:nbn:se:lnu:diva-94090DOI: 10.1017/S0140525X19001535ISI: 000525619100002PubMedID: 32159476Scopus ID: 2-s2.0-85081672517OAI: oai:DiVA.org:lnu-94090DiVA, id: diva2:1428203
Available from: 2020-05-05 Created: 2020-05-05 Last updated: 2021-05-11Bibliographically approved

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Khrennikov, Andrei

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