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What are the mechanics of quantum cognition?

Published online by Cambridge University Press:  14 May 2013

Daniel Joseph Navarro  and
Ian Fuss
Daniel Joseph Navarro
Affiliation:
School of Psychology, University of Adelaide, SA 5005Australia. daniel.navarro@adelaide.edu.au
Ian Fuss
Affiliation:
School of Electrical Engineering, University of Adelaide, SA 5005Australia. ifuss@eleceng.adelaide.edu.au
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Abstract

Pothos & Busemeyer (P&B) argue that quantum probability (QP) provides a descriptive model of behavior and can also provide a rational analysis of a task. We discuss QP models using Marr's levels of analysis, arguing that they make most sense as algorithmic level theories. We also highlight the importance of having clear interpretations for basic mechanisms such as interference.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 36 , Issue 3 , June 2013 , pp. 299 - 300
Copyright
Copyright © Cambridge University Press 2013 

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References

Fuss, I. & Navarro, D. J. (in press) Open parallel cooperative and competitive decision processes: A potential provenance for quantum probability decision models. Topics in Cognitive Science.Google Scholar
Hammeroff, S. R. (1998) Quantum computation in brain microtubules? The Penrose-Hammeroff “orch-or” model of consciousness. Philosophical Transactions of the Royal Society A 356:1869–96.Google Scholar
Kumagai, W. & Hayashi, M. (2011) Quantum hypothesis testing for quantum Gaussian states: Quantum analogues of chi-square, t and F tests. Available as arXiv preprint arXiv:1110.6255v1.Google Scholar
Marr, D. (1982) Vision: A computational investigation into the human representation and processing of visual information. W. H. Freeman.Google Scholar
Shafir, E. & Tversky, A. (1992) Thinking through uncertainty: nonconsequential reasoning and choice. Cognitive Psychology 24:449–74.Google Scholar