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What are the mechanics of quantum cognition?

  • Daniel Joseph Navarro (a1) and Ian Fuss (a2)
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.

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References
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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.
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.
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.
Marr, D. (1982) Vision: A computational investigation into the human representation and processing of visual information. W. H. Freeman.
Shafir, E. & Tversky, A. (1992) Thinking through uncertainty: nonconsequential reasoning and choice. Cognitive Psychology 24:449–74.
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Behavioral and Brain Sciences
  • ISSN: 0140-525X
  • EISSN: 1469-1825
  • URL: /core/journals/behavioral-and-brain-sciences
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