Literature DB >> 26621988

Is there contextuality in behavioural and social systems?

E N Dzhafarov1, Ru Zhang2, Janne Kujala3.   

Abstract

Most behavioural and social experiments aimed at revealing contextuality are confined to cyclic systems with binary outcomes. In quantum physics, this broad class of systems includes as special cases Klyachko-Can-Binicioglu-Shumovsky-type, Einstein-Podolsky-Rosen-Bell-type and Suppes-Zanotti-Leggett-Garg-type systems. The theory of contextuality known as contextuality-by-default allows one to define and measure contextuality in all such systems, even if there are context-dependent errors in measurements, or if something in the contexts directly interacts with the measurements. This makes the theory especially suitable for behavioural and social systems, where direct interactions of 'everything with everything' are ubiquitous. For cyclic systems with binary outcomes, the theory provides necessary and sufficient conditions for non-contextuality, and these conditions are known to be breached in certain quantum systems. We review several behavioural and social datasets (from polls of public opinion to visual illusions to conjoint choices to word combinations to psychophysical matching), and none of these data provides any evidence for contextuality. Our working hypothesis is that this may be a broadly applicable rule: behavioural and social systems are non-contextual, i.e. all 'contextual effects' in them result from the ubiquitous dependence of response distributions on the elements of contexts other than the ones to which the response is presumably or normatively directed.
© 2015 The Author(s).

Entities:  

Keywords:  contextuality; cyclic systems; inconsistent connectedness

Year:  2016        PMID: 26621988     DOI: 10.1098/rsta.2015.0099

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  11 in total

1.  Quantum probability and the mathematical modelling of decision-making.

Authors:  Emmanuel Haven; Andrei Khrennikov
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2016-01-13       Impact factor: 4.226

2.  On contextuality in behavioural data.

Authors:  Ehtibar N Dzhafarov; Janne V Kujala; Víctor H Cervantes; Ru Zhang; Matt Jones
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2016-05-28       Impact factor: 4.226

3.  Quantum Bayesian perspective for intelligence reservoir characterization, monitoring and management.

Authors:  Miguel Ángel Lozada Aguilar; Andrei Khrennikov; Klaudia Oleschko; María de Jesús Correa
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2017-11-13       Impact factor: 4.226

4.  Contextuality in canonical systems of random variables.

Authors:  Ehtibar N Dzhafarov; Víctor H Cervantes; Janne V Kujala
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2017-11-13       Impact factor: 4.226

5.  An Extension of Combinatorial Contextuality for Cognitive Protocols.

Authors:  Abdul Karim Obeid; Peter Bruza; Catarina Moreira; Axel Bruns; Daniel Angus
Journal:  Front Psychol       Date:  2022-05-20

6.  More Causes Less Effect: Destructive Interference in Decision Making.

Authors:  Irina Basieva; Vijitashwa Pandey; Polina Khrennikova
Journal:  Entropy (Basel)       Date:  2022-05-20       Impact factor: 2.738

Review 7.  Classical (Local and Contextual) Probability Model for Bohm-Bell Type Experiments: No-Signaling as Independence of Random Variables.

Authors:  Andrei Khrennikov; Alexander Alodjants
Journal:  Entropy (Basel)       Date:  2019-02-08       Impact factor: 2.524

8.  Contextuality Analysis of the Double Slit Experiment (with a Glimpse into Three Slits).

Authors:  Ehtibar N Dzhafarov; Janne V Kujala
Journal:  Entropy (Basel)       Date:  2018-04-12       Impact factor: 2.524

9.  Application of Theory of Quantum Instruments to Psychology: Combination of Question Order Effect with Response Replicability Effect.

Authors:  Masanao Ozawa; Andrei Khrennikov
Journal:  Entropy (Basel)       Date:  2019-12-26       Impact factor: 2.524

10.  Order-Stability in Complex Biological, Social, and AI-Systems from Quantum Information Theory.

Authors:  Andrei Khrennikov; Noboru Watanabe
Journal:  Entropy (Basel)       Date:  2021-03-16       Impact factor: 2.524

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.