Testing quantum-like models of judgment for question order effect
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Abstract (arXiv)
Lately, so-called "quantum" models, based on parts of the mathematics of quantum mechanics, have been developed in decision theory and cognitive sciences to account for seemingly irrational or paradoxical human judgments. We consider here some such quantum-like models that address question order effects, i.e. cases in which given answers depend on the order of presentation of the questions. Models of various dimensionalities could be used, can the simplest ones be empirically adequate? From the quantum law of reciprocity, we derive new empirical predictions that we call the Grand Reciprocity equations, that must be satisfied by several existing quantum-like models, in their non-degenerate versions. Using substantial existing data sets, we show that these non-degenerate versions fail the GR test in most cases, which means that, if quantum-like models of the kind considered here are to work, it can only be in their degenerate versions. However, we suggest that the route of degenerate models is not necessarily an easy one, and we argue for more research on the empirical adequacy of degenerate quantum-like models in general.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 19 Jan 2015.
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Citing papers per year: 2021: 3; 2022: 0; 2023: 1.
4 papers.
- 2021Tossing Quantum Coins and Dicecited by 3
- 2021Quantum Uncertainty in Decision Theorycited by 1
- 2021A Quantum-like Model for Predicting Human Decisions in the Entangled Social Systemscited by 1
- 2023Quantum Operation of Affective Artificial Intelligencecited by 1
- 2023Quantum Operation of Affective Artificial Intelligence14 May 2023
- 2021A Quantum-like Model for Predicting Human Decisions in the Entangled Social Systems27 Nov 2021
- 2021Quantum Uncertainty in Decision Theory10 May 2021
- 2021Tossing Quantum Coins and Dice31 Mar 2021