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Repeated Trust Game – Statistical Results Concerning Time of Reaction

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Transactions on Computational Collective Intelligence XXXIV

Abstract

The paper presents basic results regarding probability distributions together with the parameters related to the decision-making time in the repeated trust game. The results obtained are of a general nature, related to the waiting time for a reaction in computer-aided systems, as well as a special one related to the characteristics of the decision-makers participating in the experiment.

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Notes

  1. 1.

    Similar relationships were observed e.g. in the study Personal Income Distribution ([7], in actuarial losses estimation [15] or examining the duration of a company merger [4].

  2. 2.

    The description of the distributions can be found, for example, in the SAS documentation: http://support.sas.com/documentation/cdl/en/etsug/63939/HTML/default/viewer.htm#etsug_severity_sect017.htm (14.01.2019).

  3. 3.

    As it is defined in the SAS documentation: http://support.sas.com/documentation/cdl/en/etsug/63939/HTML/default/viewer.htm#etsug_severity_sect018.htm (19.01.2019).

  4. 4.

    This distribution is known as the Burr distribution [5].

  5. 5.

    If information about number of rounds (k) is known to the player the game is finitely repeated game: the player should calculate his/her payoff anticipating future results. Otherwise the game is infinitely repeated game.

References

  1. Akai, K., Netzer, R.J.: Trust and reciprocity among international groups: experimental evidence from Austria and Japan. J. Socio-Econ. 41, 266–276 (2012)

    Article  Google Scholar 

  2. Ariely, D., Zakay, D.: A timely account of the role of duration in decision making. Acta Physiol. 108, 187–207 (2001)

    Google Scholar 

  3. Berg, J., Dickhaut, J., McCabe, K.: Trust, reciprocity and social history. Games Econ. Behav. 10, 122–142 (1995)

    Article  Google Scholar 

  4. Buczek, A.: The time to completion of a legal merger: general concepts, statistical analysis and the case of Poland. Oper. Res. Decisions 26(1), 19–44 (2016)

    Google Scholar 

  5. Burr, I.W.: Cumulative frequency functions. Ann. Math. Stat. 13(2), 215–232 (1942)

    Article  MathSciNet  Google Scholar 

  6. Cheyette, S., Konstantinidis, E., Harman, J.L., Gonzalez, C.: Choice adaptation to increasing and decreasing event probabilities. Paper presented at the 38th Annual Meeting of the Cognitive Science Society (CogSci 2016), Philadelphia, PA (2016)

    Google Scholar 

  7. Dagum, C.: A new model of personal income distribution: specification and estimation. Economie Appliquée 30, 413–437 (1977)

    Google Scholar 

  8. Erev, I., Barron, G.: On adaptation, maximization, and reinforcement learning among cognitive strategies. Psychol. Rev. 112, 912–931 (2005)

    Article  Google Scholar 

  9. Gonzalez, C., Meyer, J.: Integrating trends in decision making research. J. Cogn. Eng. Decis. Making. Advance online publication (2016). https://doi.org/10.1177/1555343416655256

  10. Gonzalez, C., Fakhari, P., Busemeyer, J.: Dynamic decision making: learning processes and new research directions. Hum. Factors 59(5), 713–721 (2017). https://doi.org/10.1177/0018720817710347

    Article  Google Scholar 

  11. Gonzalez, C., Lerch, J.F., Lebiere, C.: Instance-based learning in dynamic decision making. Cogn. Sci. 27, 591–635 (2003)

    Article  Google Scholar 

  12. Guillen, P., Ji, D.: Trust, discrimination and acculturation. Experimental evidence on Asian international and Australian domestic university students. J. Socio-Econ. 40, 594–608 (2001)

    Google Scholar 

  13. Hertwig, R., Pleskac, T.J.: The game of life: how small samples render choice simpler. In: Chater, N., Oaksford, M. (eds.) The Probabilistic Mind: Prospects for Bayesian Cognitive Science, pp. 209–235. Oxford University Press, Oxford (2008)

    Chapter  Google Scholar 

  14. Hertwig, R., Pleskac, T.J.: Decisions from experience: why small samples? Cognition 115, 225–237 (2010)

    Article  Google Scholar 

  15. Kleiber, C., Kotz, S.: Statistical Size Distributions in Economics and Actuarial Sciences. Wiley, New Jersey (2003)

    Book  Google Scholar 

  16. Lejarraga, T., Dutt, V., Gonzalez, C.: Instance-based learning: a general model of repeated binary choice. J. Behav. Decis. Making 25, 143–153 (2012)

    Article  Google Scholar 

  17. Lejarraga, T., Hertwig, R., Gonzalez, C.: How choice ecology influences search in decisions from experience. Cognition 124, 334–342 (2012)

    Article  Google Scholar 

  18. Lejarraga, T., Lejarraga, J., Gonzalez, C.: Decisions from experience: how groups and individuals adapt to change. Mem. Cogn. 42, 1384–1397 (2014)

    Article  Google Scholar 

  19. Markowska–Przybyła, U., Ramsey, D.: A Game Theoretical Study of Generalised Trust and Reciprocation in Poland. I. Theory and Experimental Design. Operations Research and Decisions, No. 3 (2014)

    Google Scholar 

  20. Mehlhorn, K., Ben-Asher, N., Dutt, V., Gonzalez, C.: Observed variability and values matter: towards a better understanding of information search and decisions from experience. J. Behav. Decis. Making 27, 328–339 (2014)

    Google Scholar 

  21. Motylska-Kuzma, A., Mercik, J., Sus, A.: Repeatable trust game – preliminary experimental results. In: Nguyen, N.T., et al. (eds.) TCCI 2019. LNCS, vol. 11890. Springer, Cham (2019)

    Google Scholar 

  22. Rakow, T., Miler, K.: Doomed to repeat the successes of the past: history is best forgotten for repeated choices with non-stationary payoffs. Mem. Cogn. 37, 985–1000 (2009)

    Article  Google Scholar 

  23. Russo, J.E., Schoemaker, P.J.: Decision Traps: Ten Barriers to Brilliant Decision-Making and How to Overcome Them. Doubleday/Currency, New York (1989)

    Google Scholar 

  24. Shanks, D.R., Tunney, R.J., McCarthy, J.D.: A re-examination of probability matching and rational choice. J. Behav. Decis. Making 15, 233–250 (2002)

    Article  Google Scholar 

  25. Singh, S.K., Maddala, G.S.: A function for size distribution of incomes. Econometrica 44(5), 963–970 (1976)

    Article  Google Scholar 

  26. Slonim, R., Garbarino, E.: Increases in trust and altruism from partner selection: experimental evidence. Exp. Econ. 11, 134–153 (2008)

    Article  Google Scholar 

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Correspondence to Anna Motylska-Kuźma .

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Motylska-Kuźma, A., Mercik, J., Buczek, A. (2019). Repeated Trust Game – Statistical Results Concerning Time of Reaction. In: Nguyen, N., Kowalczyk, R., Mercik, J., Motylska-Kuźma, A. (eds) Transactions on Computational Collective Intelligence XXXIV. Lecture Notes in Computer Science(), vol 11890. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-60555-4_6

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  • DOI: https://doi.org/10.1007/978-3-662-60555-4_6

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