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If quantum probability = classical probability + bounded cognition; is this good, bad, or unnecessary?

Published online by Cambridge University Press:  14 May 2013

Tim Rakow*
Affiliation:
Department of Psychology, University of Essex, Wivenhoe Park, Colchester CO4 3SQ, United Kingdom. [email protected]://www.essex.ac.uk/psychology/department/people/rakow.html

Abstract

Quantum probability models may supersede existing probabilistic models because they account for behaviour inconsistent with classical probability theory that are attributable to normal limitations of cognition. This intriguing position, however, may overstate weaknesses in classical probability theory by underestimating the role of current knowledge states and may under-employ available knowledge about the limitations of cognitive processes. In addition, flexibility in model specification has risks for the use of quantum probability.

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2013 

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References

Birnbaum, M. H. (2008) New paradoxes of risky decision making. Psychological Review 115:463501.Google Scholar
Bush, R. R. & Mostellar, F. (1955) Stochastic models for learning. Blackwell.Google Scholar
Glöckner, A. & Betsch, T. (2011) The empirical content of theories in judgment and decision making: Shortcomings and remedies. Judgment and Decision Making 6:711–21.Google Scholar
Tversky, A. (1972) Elimination by aspects: A theory of choice. Psychological Review 79:281–99.Google Scholar