The lesson, applied to everything from microbes to human societies<\/a>, has been bleak: in the long run, cheaters win.<\/p>\n New research led by Alexandre Morozov, a professor in the Department of Physics and Astronomy at Rutgers University<\/a>, suggests the theory is far too simple.<\/p>\n What the classic model left out<\/p>\n The prisoner\u2019s dilemma, in its standard form, pits two players against each other in a single interaction. Cheat or cooperate.\u00a0<\/p>\n The math shows cheating wins. Game over.<\/p>\n But real life doesn\u2019t work like that. Real organisms \u2013 whether microbes<\/a>, insects, or humans \u2013 interact repeatedly, and often with the same individuals.\u00a0<\/p>\n The scientists asked a simple question: what happens if you let players remember who they\u2019ve met before? The answer changed everything.<\/p>\n \u201cAll you have to do is remember who you interacted with and react in the same way,\u201d Morozov said. \u201cThat\u2019s enough for cooperation<\/a> to emerge by itself in many scenarios. It\u2019s what physicists call an emergent property.\u201d<\/p>\n In other words, recognition is the missing ingredient. Once individuals can tell each other apart \u2013 and adjust their behavior based on past interactions \u2013 cooperation emerges.<\/p>\n Cooperation beyond small groups<\/p>\n Previous attempts to explain how cooperation survives in a Darwinian world required extra machinery. <\/p>\n Helping your genetic relatives, staying within tight-knit groups, reciprocal altruism enforced by punishment all work \u2013 but they require specific conditions that don\u2019t apply everywhere.<\/p>\n Morozov\u2019s model doesn\u2019t need any of that. It works in simple scenarios, with no family ties and no group dynamics.\u00a0<\/p>\n This means it could apply to organisms that don\u2019t have complex social lives, such as bacteria exchanging chemical signals or insects<\/a> recognizing each other through physical traits.<\/p>\n \u201cThe prisoner\u2019s dilemma has told us for 75 years that cheaters always take over in the long run,\u201d Morozov said. \u201cThe end point of any society, based on this, is complete breakdown.\u201d<\/p>\n \u201cBut that\u2019s not at all the case. Even in a very simple scenario, cheaters don\u2019t always win. In fact, it\u2019s easier for cooperation to rise.\u201d<\/p>\n Cooperation is the foundation of life<\/p>\n There\u2019s a deeper reason this matters. Cooperation isn\u2019t just a nice feature of living systems \u2013 it\u2019s the foundation of complex life itself.\u00a0<\/p>\n Without cells cooperating, there are no tissues; without organisms cooperating, there are no ecosystems; without people cooperating, there are no societies.<\/p>\n And yet Darwinian evolution, as usually described, rewards selfishness. If the prisoner\u2019s dilemma were truly the whole story, cooperation should have been strangled at birth and complex life should never have gotten off the ground.<\/p>\n \u201cEvolution<\/a> likes shaping things over long periods of time if it has some material to work with,\u201d Morozov said.\u00a0<\/p>\n \u201cIf cooperation always dies off, there\u2019s nothing to evolve. But if there\u2019s a chance, evolution will refine it and make it more stable.\u201d<\/p>\n One of biology\u2019s oldest puzzles <\/p>\n Morozov started his career studying protein folding and statistical mechanics \u2013 the mathematics of complex systems.\u00a0<\/p>\n Over time, he realized those same tools could be applied to evolutionary dynamics, and began building models of how traits spread through populations under natural selection.<\/p>\n During a sabbatical at the Hebrew University, he encountered game theory and saw an immediate connection.\u00a0<\/p>\n The mathematical machinery he\u2019d been using to study molecules, he realized, could shed new light on one of biology\u2019s oldest puzzles.<\/p>\n Cooperation persists in many systems<\/p>\n The team used mathematical models and computer simulations, including populations of neural networks \u2013 computer systems modelled on the brain \u2013 playing repeated games against each other.\u00a0<\/p>\n They also produced a theoretical generalization of Fisher\u2019s fundamental theorem of natural selection, one of the foundational principles of evolutionary biology.<\/p>\n The patterns the model produces \u2013 periods of stable cooperation interrupted by bouts of upheaval \u2013 will feel recognizable to anyone who has paid attention to human history.<\/p>\n \u201cCheaters don\u2019t always win,\u201d Morozov said. \u201cCooperation can persist, and it does persist in many systems scientists look at, such as multi-cellular organisms in which individual cells have to cooperate to survive.\u201d<\/p>\n The next step, Morozov noted, is for other researchers to take the model and run with it \u2013 testing whether the same dynamics play out in real biological systems.\u00a0<\/p>\n The study is published in the Proceedings of the National Academy of Sciences<\/a>.<\/p>\n \u2014\u2013<\/p>\n Like what you read? Subscribe to our newsletter<\/a> for engaging articles, exclusive content, and the latest updates.<\/p>\n Check us out on EarthSnap<\/a>, a free app brought to you by Eric Ralls<\/a> and Earth.com<\/a>.<\/p>\n \u2014\u2013<\/p>\n","protected":false},"excerpt":{"rendered":"For 75 years, one of the most influential ideas in science has been quietly depressing. 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