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Quantum Bayesianism as the basis of general theory of decision-making
Linnaeus University, Faculty of Technology, Department of Mathematics. (Int Ctr Math Modeling Phys & Cognit Sci)ORCID iD: 0000-0002-9857-0938
2016 (English)In: Philosophical Transactions. Series A: Mathematical, physical, and engineering science, ISSN 1364-503X, E-ISSN 1471-2962, Vol. 374, no 2068, article id 20150245Article in journal (Refereed) Published
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Abstract [en]

We discuss the subjective probability interpretation of the quantum-like approach to decision making and more generally to cognition. Our aim is to adopt the subjective probability interpretation of quantum mechanics, quantum Bayesianism (QBism), to serve quantum-like modelling and applications of quantum probability outside of physics. We analyse the classical and quantum probabilistic schemes of probability update, learning and decision-making and emphasize the role of Jeffrey conditioning and its quantum generalizations. Classically, this type of conditioning and corresponding probability update is based on the formula of total probability-one the basic laws of classical probability theory.

Place, publisher, year, edition, pages
2016. Vol. 374, no 2068, article id 20150245
Keywords [en]
quantum-like models, subjective probability, decision-making, quantum Bayesianism, formula of total probability, Jeffrey conditioning
National Category
Mathematics
Research subject
Natural Science, Mathematics
Identifiers
URN: urn:nbn:se:lnu:diva-53332DOI: 10.1098/rsta.2015.0245ISI: 000376159700014Scopus ID: 2-s2.0-84964065884OAI: oai:DiVA.org:lnu-53332DiVA, id: diva2:935416
Available from: 2016-06-10 Created: 2016-06-10 Last updated: 2018-05-17Bibliographically approved

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Khrennikov, Andrei

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