Cooperation and the Division of Labour

Cooperation is vital for maintaining the integrity of complex life forms. In many cases in nature cooperation manifests itself through constituent parts performing different, but complementary, functions. The vast majority of studies on the evolution of cooperation, however, look only at the special case in which cooperation manifests itself via the constituent parts performing identical tasks. In this paper we investigate a classof games inwhich thesocially optimalbehaviour hasthe property of being heterogeneous. We show that this class of games is equivalent to a region of ST space (the space of normalised two-player games characterised by the ‘sucker’ and ‘temptation’ payoffs) which has previously been dismissed. We analyse, through a simple group selection model, properties that evolving agents would need to have in order to “solve” this dilemma. Specifically we find that positive assortment on pure strategies may lower mean individual payoff, and that assortment on mixed strategies will increase payoff, but not maximise it.

[1]  B. Crespi The evolution of social behavior in microorganisms. , 2001, Trends in ecology & evolution.

[2]  Borys Wróbel,et al.  Evo-devo in silico - a Model of a Gene Network Regulating Multicellular Development in 3D Space with Artificial Physics , 2008, ALIFE.

[3]  J M Smith,et al.  Evolution and the theory of games , 1976 .

[4]  Francisco C. Santos,et al.  Cooperation Prevails When Individuals Adjust Their Social Ties , 2006, PLoS Comput. Biol..

[5]  L. Cavalli-Sforza,et al.  Assortment of encounters and evolution of cooperativeness. , 1982, Proceedings of the National Academy of Sciences of the United States of America.

[6]  P. Godfrey‐Smith Darwinian populations and natural selection , 2009 .

[7]  Sergey Gavrilets,et al.  Rapid Transition towards the Division of Labor via Evolution of Developmental Plasticity , 2010, PLoS Comput. Biol..

[8]  G. Wagner,et al.  The evolution of colony-level development in the Siphonophora (Cnidaria:Hydrozoa) , 2006, Development Genes and Evolution.

[9]  M. Macy,et al.  Learning dynamics in social dilemmas , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[10]  Robert T. Pennock,et al.  The evolutionary origin of complex features , 2003, Nature.

[11]  D. Queller Kinship, reciprocity and synergism in the evolution of social behaviour , 1985, Nature.

[12]  M. Nowak Evolutionary Dynamics: Exploring the Equations of Life , 2006 .

[13]  Eörs Szathmáry,et al.  The Major Transitions in Evolution , 1997 .

[14]  M. Nowak,et al.  Evolutionary games and spatial chaos , 1992, Nature.

[15]  P. Godfrey‐Smith Varieties of Population Structure and the Levels of Selection , 2008, The British Journal for the Philosophy of Science.

[16]  Michael Doebeli,et al.  Spatial structure often inhibits the evolution of cooperation in the snowdrift game , 2004, Nature.

[17]  D. Hartl,et al.  Principles of population genetics , 1981 .

[18]  V. Wynne-Edwards Group Selection and Kin Selection , 1964, Nature.

[19]  Thomas S. Ray,et al.  Evolution of differentiated multi-threaded digital organisms , 1998, Proceedings 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human and Environment Friendly Robots with High Intelligence and Emotional Quotients (Cat. No.99CH36289).

[20]  Mike Mesterton-Gibbons,et al.  Cooperation Among Unrelated Individuals: Evolutionary Factors , 1992, The Quarterly Review of Biology.

[21]  Adam Smith,et al.  The Wealth of Nations , 1999 .

[22]  M. Nowak Five Rules for the Evolution of Cooperation , 2006, Science.

[23]  D. Queller Cooperators Since Life Began , 1997, The Quarterly Review of Biology.

[24]  Andy Gardner,et al.  The Relation between Multilocus Population Genetics and Social Evolution Theory , 2006, The American Naturalist.

[25]  C. Ofria,et al.  Task-switching costs promote the evolution of division of labor and shifts in individuality , 2012, Proceedings of the National Academy of Sciences.

[26]  R. Michod,et al.  The group covariance effect and fitness trade-offs during evolutionary transitions in individuality. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[27]  Peter Eggenberger Hotz Asymmetric cell division in artificial evolution , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).