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Probabilistic Programs for Investigating Contextuality in Human Information Processing

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Quantum Interaction (QI 2018)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11690))

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Abstract

This article presents a framework for analysing contextuality in human information processing. In the quantum cognition community there has been ongoing speculation that quantum-like contextuality may be present in human cognition. The framework aims to provide a convenient means of designing experiments and performing contextuality analysis in order to ascertain whether this speculation holds. Experimental designs are expressed as probabilistic programs. The semantics of a program are composed from hypergraphs called contextuality scenarios, which, in turn, are used to determine whether the cognitive phenomenon being studied is contextual. Examples are provided illustrate the framework as well as some reflection about its broader application to quantum physics.

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Acknowledgements

This research was supported by the Asian Office of Aerospace Research and Development (AOARD) grant: FA2386-17-1-4016.

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Authors and Affiliations

  1. School of Information Systems, Queensland University of Technology, Brisbane, Australia

    Peter D. Bruza

  2. Rotman School of Management, University of Toronto, Toronto, Canada

    Peter Wittek

  3. Creative Destruction Lab, Toronto, Canada

    Peter Wittek

  4. Vector Institute for Artificial Intelligence, Toronto, Canada

    Peter Wittek

Authors
  1. Peter D. Bruza
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  2. Peter Wittek
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Corresponding author

Correspondence to Peter D. Bruza .

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Editors and Affiliations

  1. University of Oxford, Oxford, UK

    Bob Coecke

  2. Paris School of Economics, Paris, France

    Ariane Lambert-Mogiliansky

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Bruza, P.D., Wittek, P. (2019). Probabilistic Programs for Investigating Contextuality in Human Information Processing. In: Coecke, B., Lambert-Mogiliansky, A. (eds) Quantum Interaction. QI 2018. Lecture Notes in Computer Science(), vol 11690. Springer, Cham. https://doi.org/10.1007/978-3-030-35895-2_4

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  • DOI: https://doi.org/10.1007/978-3-030-35895-2_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-35894-5

  • Online ISBN: 978-3-030-35895-2

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