Researchers develop the first model to capture crosstalk in social dilemmas

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The prisoner's dilemma is a classic example of a social dilemma—that is, a situation in which both people would be better off if they cooperated than if they both defected, but there is still some incentive to defect. When social dilemmas are repeated, people subconsciously develop a strategy that dictates when they should cooperate and when they should defect. Researchers use computer simulations to study repeated social dilemmas or "games" by assigning virtual players different strategies, and have established which strategies lead to the development of cooperation, and how stable the resulting cooperative situations are. Successful strategies include, for instance, "tit-for-tat" (I start by cooperating, and then I'll do whatever you did last) or "win-stay, lose-shift" (I start with cooperation, then I'll keep doing what I'm doing until I lose).

However, in all of these previous studies, scientists have assumed that a player is only interacting with one other player (i.e. Bob only ever plays Alice), or that a player's decisions in one game are completely independent of their decisions in another game (i.e. Bob's games with Alice have no effect on his games with Caroline). These assumptions do not necessarily apply to real-life social dilemmas, however. Humans are often involved in many simultaneous games, and interactions with other players spill over into other games. In other words, these games are subject to crosstalk.

Read more at: https://phys.org/news/2018-02-capture-crosstalk-social-dilemmas.html#jCp