Empirical Comparison of Markov and Quantum models of decision-making

Jérôme Busemeyer, Ariane Lambert-Mogiliansky and Zheng Wang
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Jérôme Busemeyer: Indiana University - Indiana University [Bloomington] - Indiana University System
Zheng Wang: OSU - The Ohio State University [Columbus]

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Abstract: There are at least two general theories for building probabilistic-dynamical systems: one is Markov theory and another is quantum theory. These two mathematical frameworks share many fundamental ideas, but they also differ in some key properties. On the one hand, Markov theory obeys the law of total probability, but quantum theory does not; on the other hand, quantum theory obeys the doubly stochastic law, but Markov theory does not. Therefore, the decision about whether to use a Markov or a quantum system depends on which of these laws are empirically obeyed in an application. This article derives two general methods for testing these theories that are parameter free, and presents a new experimental test. The article concludes with a review of experimental findings from cognitive psychology that evaluate these two properties.

Keywords: Markov processes; Quantum probability; Categorization; Decision making; Interference effects; Double stochasticity (search for similar items in EconPapers)
Date: 2009-10
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Citations: View citations in EconPapers (18)

Published in Journal of Mathematical Psychology, 2009, 53 (5), pp.423-433. ⟨10.1016/j.jmp.2009.03.002⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-00754332

DOI: 10.1016/j.jmp.2009.03.002

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