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A More Realistic Markov Process Model for Explaining the Disjunction Effect in One-Shot Prisoner’s Dilemma Game

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  • Xiaoyang Xin

    (Center for Psychological Sciences, Zhejiang University, Hangzhou 310012, China)

  • Mengdan Sun

    (Department of Psychology, Soochow University, Suzhou 215031, China)

  • Bo Liu

    (School of Psychology, Shaanxi Normal University, Xi’an 710062, China
    Shaanxi Provincial Key Laboratory of Behavior and Cognitive Neuroscience, Xi’an 710062, China)

  • Ying Li

    (School of Psychology, Shaanxi Normal University, Xi’an 710062, China
    Shaanxi Provincial Key Laboratory of Behavior and Cognitive Neuroscience, Xi’an 710062, China)

  • Xiaoqing Gao

    (Center for Psychological Sciences, Zhejiang University, Hangzhou 310012, China)

Abstract

The quantum model has been considered to be advantageous over the Markov model in explaining irrational behaviors (e.g., the disjunction effect) during decision making. Here, we reviewed and re-examined the ability of the quantum belief–action entanglement (BAE) model and the Markov belief–action (BA) model in explaining the disjunction effect considering a more realistic setting. The results indicate that neither of the two models can truly represent the underlying cognitive mechanism. Thus, we proposed a more realistic Markov model to explain the disjunction effect in the prisoner’s dilemma game. In this model, the probability transition pattern of a decision maker (DM) is dependent on the information about the opponent’s action, Also, the relationship between the cognitive components in the evolution dynamics is moderated by the DM’s degree of subjective uncertainty (DSN). The results show that the disjunction effect can be well predicted by a more realistic Markov model. Model comparison suggests the superiority of the proposed Markov model over the quantum BAE model in terms of absolute model performance, relative model performance, and model flexibility. Therefore, we suggest that the key to successfully explaining the disjunction effect is to consider the underlying cognitive mechanism properly.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jmathe:v:10:y:2022:i:5:p:834-:d:765115
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    References listed on IDEAS

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    1. Piovesan, Marco & Wengström, Erik, 2009. "Fast or fair? A study of response times," Economics Letters, Elsevier, vol. 105(2), pages 193-196, November.
    2. Fadong Chen & Ian Krajbich, 2018. "Biased sequential sampling underlies the effects of time pressure and delay in social decision making," Nature Communications, Nature, vol. 9(1), pages 1-10, December.
    3. David G. Rand & Joshua D. Greene & Martin A. Nowak, 2012. "Spontaneous giving and calculated greed," Nature, Nature, vol. 489(7416), pages 427-430, September.
    4. 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.
    5. Gianna Lotito & Matteo Migheli & Guido Ortona, 2013. "Is cooperation instinctive? Evidence from the response times in a public goods game," Journal of Bioeconomics, Springer, vol. 15(2), pages 123-133, July.
    6. Pieter Berg & Tom Wenseleers, 2018. "Uncertainty about social interactions leads to the evolution of social heuristics," Nature Communications, Nature, vol. 9(1), pages 1-7, December.
    7. Croson, Rachel T. A., 1999. "The Disjunction Effect and Reason-Based Choice in Games, , , , , , , , , , , , ," Organizational Behavior and Human Decision Processes, Elsevier, vol. 80(2), pages 118-133, November.
    8. Johannes Lohse & Timo Goeschl & Johannes H. Diederich, 2017. "Giving is a Question of Time: Response Times and Contributions to an Environmental Public Good," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 67(3), pages 455-477, July.
    9. Jérôme Busemeyer & Ariane Lambert-Mogiliansky & Zheng Wang, 2009. "Empirical Comparison of Markov and Quantum models of decision-making," Post-Print halshs-00754332, HAL.
    10. Stephan Jagau & Matthijs van Veelen, 2017. "A general evolutionary framework for the role of intuition and deliberation in cooperation," Nature Human Behaviour, Nature, vol. 1(8), pages 1-6, August.
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