IDEAS home Printed from https://ideas.repec.org/a/eee/eejocm/v37y2020ics1755534520300336.html
   My bibliography  Save this article

Quantum choice models: A flexible new approach for understanding moral decision-making

Author

Listed:
  • Hancock, Thomas O.
  • Broekaert, Jan
  • Hess, Stephane
  • Choudhury, Charisma F.

Abstract

Quantum probability, first developed in theoretical physics, has recently been successfully used in cognitive psychology to model data from experiments that previously resisted effective modelling by classical methods. This has led to the development of choice models based on quantum probability, which have greater flexibility than standard models due to the implementation of complex numbers through, for example, complex phases or ‘quantum rotations’. This paper tests whether these new models can also capture choice modification under implicit ‘changing perspectives’ in choice contexts with salient moral attributes. We apply these models to two distinctly different case-studies. In the first, respondents have to make choices between route alternatives with variable ‘concrete’ and ‘moral’ attributes — Chorus et al. (2018)’s ‘taboo trade-off’ between time-cost and deaths-injuries. The second study investigates how an individual weighs wages and commuting times for themselves relative to the wages and commuting times for their partner. Under both scenarios, we find that the flexibility provided by quantum choice models allows them to accurately capture and formally explain choices across the differing contexts.

Suggested Citation

  • Hancock, Thomas O. & Broekaert, Jan & Hess, Stephane & Choudhury, Charisma F., 2020. "Quantum choice models: A flexible new approach for understanding moral decision-making," Journal of choice modelling, Elsevier, vol. 37(C).
  • Handle: RePEc:eee:eejocm:v:37:y:2020:i:c:s1755534520300336
    DOI: 10.1016/j.jocm.2020.100235
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1755534520300336
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jocm.2020.100235?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Beck, Matthew J. & Hess, Stephane, 2016. "Willingness to accept longer commutes for better salaries: Understanding the differences within and between couples," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 1-16.
    2. Chorus, Caspar G. & Pudāne, Baiba & Mouter, Niek & Campbell, Danny, 2018. "Taboo trade-off aversion: A discrete choice model and empirical analysis," Journal of choice modelling, Elsevier, vol. 27(C), pages 37-49.
    3. Chorus, Caspar G., 2015. "Models of moral decision making: Literature review and research agenda for discrete choice analysis," Journal of choice modelling, Elsevier, vol. 16(C), pages 69-85.
    4. Swärdh, Jan-Erik & Algers, Staffan, 2009. "Willingness to accept commuting time for yourself and for your spouse: Empirical evidence from Swedish stated preference data," Working Papers 2009:5, Swedish National Road & Transport Research Institute (VTI).
    5. Yu, Jiangbo Gabriel & Jayakrishnan, R., 2018. "A quantum cognition model for bridging stated and revealed preference," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 263-280.
    6. Jérôme Busemeyer & Ariane Lambert-Mogiliansky & Zheng Wang, 2009. "Empirical Comparison of Markov and Quantum models of decision-making," Post-Print halshs-00754332, HAL.
    7. Jérôme Busemeyer & Ariane Lambert-Mogiliansky & Zheng Wang, 2009. "Empirical Comparison of Markov and Quantum models of decision-making," PSE-Ecole d'économie de Paris (Postprint) halshs-00754332, HAL.
    8. Lipovetsky, Stan, 2018. "Quantum paradigm of probability amplitude and complex utility in entangled discrete choice modeling," Journal of choice modelling, Elsevier, vol. 27(C), pages 62-73.
    9. Hancock, Thomas O. & Broekaert, Jan & Hess, Stephane & Choudhury, Charisma F., 2020. "Quantum probability: A new method for modelling travel behaviour," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 165-198.
    10. Hess, Stephane & Palma, David, 2019. "Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
    11. Arne Henningsen & Ott Toomet, 2011. "maxLik: A package for maximum likelihood estimation in R," Computational Statistics, Springer, vol. 26(3), pages 443-458, September.
    12. Moshe Ben-Akiva & Joffre Swait, 1986. "The Akaike Likelihood Ratio Index," Transportation Science, INFORMS, vol. 20(2), pages 133-136, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Smeele, Nicholas V.R. & Chorus, Caspar G. & Schermer, Maartje H.N. & de Bekker-Grob, Esther W., 2023. "Towards machine learning for moral choice analysis in health economics: A literature review and research agenda," Social Science & Medicine, Elsevier, vol. 326(C).
    2. Stan Lipovetsky, 2023. "Quantum-like Data Modeling in Applied Sciences: Review," Stats, MDPI, vol. 6(1), pages 1-9, February.
    3. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    4. Epping, Gunnar P. & Kvam, Peter D. & Pleskac, Timothy J. & Busemeyer, Jerome R., 2023. "Open system model of choice and response time," Journal of choice modelling, Elsevier, vol. 49(C).
    5. Di Gangi, Massimo & Vitetta, Antonino, 2021. "Quantum utility and random utility model for path choice modelling: Specification and aggregate calibration from traffic counts," Journal of choice modelling, Elsevier, vol. 40(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hancock, Thomas O. & Broekaert, Jan & Hess, Stephane & Choudhury, Charisma F., 2020. "Quantum probability: A new method for modelling travel behaviour," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 165-198.
    2. Jingmei Xiao & Mei Cai & Yu Gao, 2022. "A VIKOR-Based Linguistic Multi-Attribute Group Decision-Making Model in a Quantum Decision Scenario," Mathematics, MDPI, vol. 10(13), pages 1-23, June.
    3. Hancock, Thomas O. & Hess, Stephane & Marley, A.A.J. & Choudhury, Charisma F., 2021. "An accumulation of preference: Two alternative dynamic models for understanding transport choices," Transportation Research Part B: Methodological, Elsevier, vol. 149(C), pages 250-282.
    4. Chorus, Caspar & van Cranenburgh, Sander & Daniel, Aemiro Melkamu & Sandorf, Erlend Dancke & Sobhani, Anae & Szép, Teodóra, 2021. "Obfuscation maximization-based decision-making: Theory, methodology and first empirical evidence," Mathematical Social Sciences, Elsevier, vol. 109(C), pages 28-44.
    5. Andreas Wichert, 2021. "Quantum-Like Sampling," Mathematics, MDPI, vol. 9(17), pages 1-11, August.
    6. Boyer-Kassem, Thomas & Duchêne, Sébastien & Guerci, Eric, 2016. "Testing quantum-like models of judgment for question order effect," Mathematical Social Sciences, Elsevier, vol. 80(C), pages 33-46.
    7. Thomas Boyer-Kassem & Sébastien Duchêne & Eric Guerci, 2016. "Quantum-like models cannot account for the conjunction fallacy," Theory and Decision, Springer, vol. 81(4), pages 479-510, November.
    8. Viola Di Cori & Cristiano Franceschinis & Nicolas Robert & Davide Matteo Pettenella & Mara Thiene, 2021. "Moral Foundations and Willingness to Pay for Non-Wood Forest Products: A Study in Three European Countries," Sustainability, MDPI, vol. 13(23), pages 1-16, December.
    9. Khrennikov, Andrei, 2015. "Quantum version of Aumann’s approach to common knowledge: Sufficient conditions of impossibility to agree on disagree," Journal of Mathematical Economics, Elsevier, vol. 60(C), pages 89-104.
    10. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    11. Khrennikova, Polina, 2016. "Application of quantum master equation for long-term prognosis of asset-prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 450(C), pages 253-263.
    12. Xiao Tan & Jianjun Zhu & Tong Wu, 2022. "Dynamic Reference Point-Oriented Consensus Mechanism in Linguistic Distribution Group Decision Making Restricted by Quantum Integration of Information," Group Decision and Negotiation, Springer, vol. 31(2), pages 491-528, April.
    13. Loretta Mastroeni & Maurizio Naldi & Pierluigi Vellucci, 2023. "Personal Finance Decisions with Untruthful Advisors: An Agent-Based Model," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1477-1522, April.
    14. Smeele, Nicholas V.R. & Chorus, Caspar G. & Schermer, Maartje H.N. & de Bekker-Grob, Esther W., 2023. "Towards machine learning for moral choice analysis in health economics: A literature review and research agenda," Social Science & Medicine, Elsevier, vol. 326(C).
    15. Ana Njegovanovic, 2018. "Hilbert Space / Quantum Theory of the Financial Decision and Role of the Prefrontal Cortex with a View to Emotions," International Journal of Social and Administrative Sciences, Asian Economic and Social Society, vol. 3(1), pages 42-54, March.
    16. Ashtiani, Mehrdad & Azgomi, Mohammad Abdollahi, 2015. "A survey of quantum-like approaches to decision making and cognition," Mathematical Social Sciences, Elsevier, vol. 75(C), pages 49-80.
    17. Molloy, Joseph & Becker, Felix & Schmid, Basil & Axhausen, Kay W., 2021. "mixl: An open-source R package for estimating complex choice models on large datasets," Journal of choice modelling, Elsevier, vol. 39(C).
    18. Paul Koster, 2023. "Counting what counts: Moral considerations and market surplus," Tinbergen Institute Discussion Papers 23-008/VIII, Tinbergen Institute.
    19. Xiaoyang Xin & Mengdan Sun & Bo Liu & Ying Li & Xiaoqing Gao, 2022. "A More Realistic Markov Process Model for Explaining the Disjunction Effect in One-Shot Prisoner’s Dilemma Game," Mathematics, MDPI, vol. 10(5), pages 1-23, March.
    20. Luke Snow & Shashwat Jain & Vikram Krishnamurthy, 2022. "Lyapunov based Stochastic Stability of Human-Machine Interaction: A Quantum Decision System Approach," Papers 2204.00059, arXiv.org.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:eejocm:v:37:y:2020:i:c:s1755534520300336. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/journal-of-choice-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.