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.
- 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.
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.
This distribution is known as the Burr distribution [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.
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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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