title: Cellular cooperation with shift updating and repulsion.
abstract: Population structure can facilitate evolution of cooperation. In a structured population, cooperators can form clusters which resist exploitation by defectors. Recently, it was observed that a shift update rule is an extremely strong amplifier of cooperation in a one dimensional spatial model. For the shift update rule, an individual is chosen for reproduction proportional to fecundity; the offspring is placed next to the parent; a random individual dies. Subsequently, the population is rearranged (shifted) until all individual cells are again evenly spaced out. For large population size and a one dimensional population structure, the shift update rule favors cooperation for any benefit-to-cost ratio greater than one. But every attempt to generalize shift updating to higher dimensions while maintaining its strong effect has failed. The reason is that in two dimensions the clusters are fragmented by the movements caused by rearranging the cells. Here we introduce the natural phenomenon of a repulsive force between cells of different types. After a birth and death event, the cells are being rearranged minimizing the overall energy expenditure. If the repulsive force is sufficiently high, shift becomes a strong promoter of cooperation in two dimensions.
authors.affiliation: IST Austria, Klosterneuburg, A-3400, Austria.
authors.forename: Andreas
authors.initials: A
authors.lastname: Pavlogiannis
authors.affiliation: IST Austria, Klosterneuburg, A-3400, Austria.
authors.forename: Krishnendu
authors.initials: K
authors.lastname: Chatterjee
authors.affiliation: Program for Evolutionary Dynamics, Department of Organismic and Evolutionary Biology, Department of Mathematics, Harvard University, Cambridge, MA 02138, USA.
authors.forename: Ben
authors.initials: B
authors.lastname: Adlam
authors.affiliation: Program for Evolutionary Dynamics, Department of Organismic and Evolutionary Biology, Department of Mathematics, Harvard University, Cambridge, MA 02138, USA.
authors.forename: Martin A
authors.initials: MA
authors.lastname: Nowak
mesh_terms: D004734:Energy Metabolism; D005716:Game Theory; D008962:Models, Theoretical; D000068956:Prisoner Dilemma