2020
DOI: 10.1371/journal.pcbi.1007588
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Emergence and suppression of cooperation by action visibility in transparent games

Abstract: Real-world agents, humans as well as animals, observe each other during interactions and choose their own actions taking the partners' ongoing behaviour into account. Yet, classical game theory assumes that players act either strictly sequentially or strictly simultaneously without knowing each other's current choices. To account for action visibility and provide a more realistic model of interactions under time constraints, we introduce a new gametheoretic setting called transparent games, where each player h… Show more

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Cited by 7 publications
(8 citation statements)
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References 82 publications
(134 reference statements)
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“…Yet, the analysis of action time distributions suggests that macaques employed a competitive version of turn-taking in which the faster agent selects its own color (insists) while the slower agent follows (accommodates). Such behavior would be in line with theoretical predictions derived from our evolutionary simulation (Unakafov et al, 2020), showing that competitive turn-taking provides the most effective strategy for a BoS type game when players have high probability to observe partner’s choices. To further test the hypothesis that this macaque pair developed a competitive Leader-Follower strategy, we performed a correlation analysis between the modeled visibility of the faster agent’s action by the slower agent and the observed likelihood of following to the faster agent’s color (the faster animal nearly always selected his own color).…”
Section: Resultssupporting
confidence: 87%
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“…Yet, the analysis of action time distributions suggests that macaques employed a competitive version of turn-taking in which the faster agent selects its own color (insists) while the slower agent follows (accommodates). Such behavior would be in line with theoretical predictions derived from our evolutionary simulation (Unakafov et al, 2020), showing that competitive turn-taking provides the most effective strategy for a BoS type game when players have high probability to observe partner’s choices. To further test the hypothesis that this macaque pair developed a competitive Leader-Follower strategy, we performed a correlation analysis between the modeled visibility of the faster agent’s action by the slower agent and the observed likelihood of following to the faster agent’s color (the faster animal nearly always selected his own color).…”
Section: Resultssupporting
confidence: 87%
“…Coordination is essential for maintaining cohesion between group members, avoiding conflicts, and achieving individual and joint action goals. Here we focus on understanding how such coordination can be achieved and maintained in a dyadic "transparent" setting in which agents can observe each other's ongoing actions and social cues (Unakafov et al, 2020(Unakafov et al, , 2019, like in many natural situations (Conty et al, 2012;Fruteau et al, 2013;Rizzolatti et al, 2001;Silk, 2007).…”
Section: Introductionmentioning
confidence: 99%
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“…It stands to reason that the degree to which humans actually cooperate, and opportunities for cooperation, are strongly influenced by the design and function of societal systems. Studies in game theory and other fields identify key factors-rules, information processes, organizational structures, etc.-that promote or inhibit cooperation [68,[74][75][76][77][78].…”
Section: Cooperationmentioning
confidence: 99%
“…Other paradigms allow subjects to sequentially make multiple decisions within a given trial while continuously moving around the task environment (Diamond et al, 2017;Michalski et al, 2020), effectively abolishing the one-decision-per-trial structure for more naturalistic choice sequences. Also, coordination of action with others, be it in a cooperative or a competitive setting, requires continuous integration of selection and control when the opponents' actions are mutually visible and leads to specific dyadic choice behavior, like leader-follower strategies in transparent games (Möller et al, 2020;Unakafov et al, 2020).…”
Section: Advantages Of Measuring Online Decision Processes Over the Use Of Reaction Time Paradigmsmentioning
confidence: 99%