Effects of Group Composition and Level of Selection in the Evolution of Cooperation in Artificial Ants
Since ants and other social insects have long generation time, it is very difficult for biologists to study the origin of complex social organization by guided evolution (a process where the evolution of a trait can be followed during experimental evolution). Here we use colonies of artificial ants implemented as small mobile robots with simple vision and communication abilities to explore these issues. In this paper, we present results concerning the role of relatedness (genetic similarity) and levels of selection (individual and colony-level selection) on the evolution of cooperation and division of labor in simulated ant colonies. In order to ensure thorough statistical analysis, the evolutionary experiments, herein reported, have been carried out using “minimalist” simulations of the collective robotics evolutionary setup. The results show that altruistic behaviors have low probability of emerging in heterogeneous colonies evolving under individual-level selection and that colonies with high genetic relatedness display better performance.
KeywordsEvolution cooperation division of labor altruism social insects
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- 1.Hölldobler, B., Wilson, E.: The Ants. Springer, Berlin (1990)Google Scholar
- 2.Gadagkar, R.: Survival strategies: cooperation and conflict in animal societies. Harvard University Press, Cambridge (1997)Google Scholar
- 3.Wheeler, W.: The social insects: their origin and evolution. Kegan Paul, London (1928)Google Scholar
- 5.Keller, L., Reeve, H.: Dynamics of conflicts within insect societies. In: Levels of Selection in Evolution, pp. 153–175. Princeton University Press, Princeton (1999)Google Scholar
- 7.Bourke, A., Franks, N.: Social evolution in ants. Princeton University Press, Princeton (1995)Google Scholar
- 10.Brooks, R.: Challenges for complete creature architectures. In: Meyer, J.A., Wilson, S. (eds.) From animals to animats. First International Conference on Simulation of Adaptive Behavior, pp. 434–443. The MIT Press, Cambridge (1991)Google Scholar
- 11.Dugatkin, L., Reeve, H. (eds.): Game Theory and Animal Behavior. Oxford University Press, Oxford (1998)Google Scholar
- 13.Pepper, J., Smuts, B.: The evolution of cooperation in an ecological context: an agent-based model. In: Kohler, T.A., Gumerman, G.J. (eds.) Dynamics in Human and Primate Societies: Agent-Based Modeling of Social and Spatial Processes, pp. 45–76. Oxford University Press, Oxford (2000)Google Scholar
- 14.Caprari, G., Estier, T., Siegwart, R.: Fascination of down scaling - alice the sugar cube robot. Journal of Micro-Mechatronics 1, 177–189 (2002)Google Scholar
- 16.Nolfi, S., Floreano, D.: Evolutionary Robotics. The Biology, Intelligence, and Technology of Self-organizing Machines. The MIT Press, Cambridge, Massachusetts (1999) Google Scholar