2017
DOI: 10.1016/j.jebo.2017.07.037
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Human and monkey responses in a symmetric game of conflict with asymmetric equilibria

Abstract: to BJW. We thank the editor and two anonymous reviewers for comments that have improved the paper, Megan Luetje for recruiting our human participants, and Jeffrey Kirchner for his software programming.

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Cited by 26 publications
(56 citation statements)
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“…One of the main challenges in this field is extending these studies to direct real-time interactions that would entail a broad spectrum of dynamic competitive and cooperative behaviours. In line with this, several recent studies also considered direct social interactions in humans and non-human primates [3][4][5][50][51][52][53][54][55] during dyadic games where players can monitor actions and outcomes of each other. Transparent games allow modelling the players' access to social cues, which is essential for the analysis of experimental data in the studies of this kind [21].…”
Section: Discussionmentioning
confidence: 93%
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“…One of the main challenges in this field is extending these studies to direct real-time interactions that would entail a broad spectrum of dynamic competitive and cooperative behaviours. In line with this, several recent studies also considered direct social interactions in humans and non-human primates [3][4][5][50][51][52][53][54][55] during dyadic games where players can monitor actions and outcomes of each other. Transparent games allow modelling the players' access to social cues, which is essential for the analysis of experimental data in the studies of this kind [21].…”
Section: Discussionmentioning
confidence: 93%
“…Transparent games allow modelling the players' access to social cues, which is essential for the analysis of experimental data in the studies of this kind [21]. This might be especially useful when behaviour is explicitly compared between "simultaneous" and "transparent" game settings, as in [3,5,50,55]. In particular, the enhanced cooperation in the transparent iBoS for high p see provides a theoretical explanation for the empirical observations in [5], where humans playing an iBoS-type game demonstrated a higher level of cooperation and a fairer payoff distribution when they were able to observe the actions of the partner while making their own choice.…”
Section: Discussionmentioning
confidence: 99%
“…The break of coordination was triggered by the faster agent slowing down and the slower one speeding up and selecting the own color; conversely, the transition to coordination was associated with the speeding up agent selecting the own color and the slowing down agent accommodating.In summary, both species exploited action visibility to achieve and/or maintain the turn-taking, emphasizing the importance of the "transparency" of interactive behavior as an important determinant of emerging strategies. Human agents initiated switches to and from their preferred colors to "fairly" balance the payoffs, similarly to the Conflict game37 , while macaques established competitive dynamics, as predicted by our evolutionary simulations8 . These results add to the body of literature indicating that humans in a social setting might base their decisions not only on pure reward maximization 59 .…”
mentioning
confidence: 54%
“…Conversely, the behavior of humans and nonhuman primates differs when the competition can be resolved by turn-taking. In the anti-coordination Conflict game where maximum joint reward is obtained if each agent selects a different icon37 , capuchins and macaques converged on only one of the two possible asymmetric equilibria (much like 4 of our 9 naïve macaque pairs), while 11 out of 27 human pairs balanced payoffs by alternating between the two anti-coordination equilibria (similar to the 10 turn-takers out of our 19 pairs).…”
mentioning
confidence: 79%
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