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- W4256242643 abstract "Recently, applications of quantum mechanics to coginitive psychology have been discussed, see [1]–[11]. It was known that statistical data obtained in some experiments of cognitive psychology cannot be described by classical probability model (Kolmogorov’s model) [12]–[15]. Quantum probability is one of the most advanced mathematical models for non‐classical probability. In the paper of [11], we proposed a quantum‐like model describing decision‐making process in a two‐player game, where we used the generalized quantum formalism based on lifting of density operators [16].In this paper, we discuss the quantum‐like representation of Bayesian inference, which has been used to calculate probabilities for decision making under uncertainty. The uncertainty is described in the form of quantum superposition, and Bayesian updating is explained as a reduction of state by quantum measurement." @default.
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- W4256242643 date "2011-01-01" @default.
- W4256242643 modified "2023-09-28" @default.
- W4256242643 title "Quantum-like Representation of Bayesian Updating" @default.
- W4256242643 doi "https://doi.org/10.1063/1.3578746" @default.
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