Quantum-like Description of Probabilistic Data from Shafir-Tversky Experiments: evidence of trigonometric and hyperbolic (!) interference
Andrei Khrennikov

TL;DR
This paper models the Shafir-Tversky experimental data using quantum-like frameworks, revealing both trigonometric and hyperbolic interference effects, and introduces measures of contextual incompatibility in cognitive decision processes.
Contribution
It presents a quantum-like representation of probabilistic data from cognitive experiments, identifying hyperbolic interference and providing a new measure of contextual incompatibility.
Findings
Identification of trigonometric and hyperbolic interference in data
Introduction of a coefficient of interference as a measure of contextual incompatibility
Representation of mental states using probability amplitudes or wave functions
Abstract
In this paper we present quantum-like (QL) representation of the Shafir-Tversky statistical effect. We apply so called contextual approach. The Shafir-Tversky effect is considered as a consequence of combination of a number of incompatible contexts which are involved e.g. in Prisoner's Dilemma or in more general games inducing the disjunction effect. As a consequence, the law of total probability is violated for experimental data obtained by Shafir and Tversky (1992) as well as Tversky and Shafir (1992). Moreover, we can find a numerical measure of contextual incompatibility (so called coefficient of interference) as well as represent contexts which are involved in Prisoner's Dilemma (PD) by probability amplitudes -- normalized vectors (``mental wave functions''). We remark that statistical data from Shafir and Tversky (1992) and Tversky and Shafir (1992) experiments differ crucially…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Mechanics and Applications · Statistical Mechanics and Entropy · Complex Systems and Time Series Analysis
