
pmid: 27466437
pmc: PMC4971219
Abstract The outcome of a major evolutionary transition is the aggregation of independent entities into a new synergetic level of organisation. Classical models involve either pairwise interactions between individuals or a linear superposition of these interactions. However, major evolutionary transitions display synergetic effects: their outcome is not just the sum of its parts. Multiplayer games can display such synergies, as their payoff can be different from the sum of any collection of two-player interactions. Assuming that all interactions start from pairs, how can synergetic multiplayer games emerge from simpler pairwise interaction? Here, we present a mathematical model that captures the transition from pairwise interactions to synergetic multiplayer ones. We assume that different social groups have different breaking rates. We show that non-uniform breaking rates do foster the emergence of synergy, even though individuals always interact in pairs. Our work sheds new light on the mechanisms underlying a major evolutionary transition.
Artificial intelligence, Sociology and Political Science, Evolution, Microbial Consortia, Evolutionary Games, Superposition principle, Social Sciences, Outcome (game theory), Bacterial Physiological Phenomena, Models, Biological, Pairwise comparison, Mathematical analysis, Selection (genetic algorithm), Game Theory, Biochemistry, Genetics and Molecular Biology, Health Sciences, Genetics, FOS: Mathematics, Experimental Evolution, Bacteria, Mathematical economics, Evolutionary Dynamics of Genetic Adaptation and Mutation, Public Health, Environmental and Occupational Health, Life Sciences, Life Sciences–Physics interface, Computer science, Cooperation, FOS: Biological sciences, Disease Transmission and Population Dynamics, Medicine, Evolution of Cooperation and Altruism in Social Systems, Mathematics
Artificial intelligence, Sociology and Political Science, Evolution, Microbial Consortia, Evolutionary Games, Superposition principle, Social Sciences, Outcome (game theory), Bacterial Physiological Phenomena, Models, Biological, Pairwise comparison, Mathematical analysis, Selection (genetic algorithm), Game Theory, Biochemistry, Genetics and Molecular Biology, Health Sciences, Genetics, FOS: Mathematics, Experimental Evolution, Bacteria, Mathematical economics, Evolutionary Dynamics of Genetic Adaptation and Mutation, Public Health, Environmental and Occupational Health, Life Sciences, Life Sciences–Physics interface, Computer science, Cooperation, FOS: Biological sciences, Disease Transmission and Population Dynamics, Medicine, Evolution of Cooperation and Altruism in Social Systems, Mathematics
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