Dynamics of Cooperation in Spatial Prisoner’s Dilemma of Memory-Based Players
In a population of extremely primitive players with no memory, interaction with local neighbors in a spatial array can promote the coexistence of cooperators and defectors, which is not possible in the well mixed case (Nowak, Bonhoeffer, and May, 1994). However, the applicability of this insight is unclear in the context of a social system where memory plays a significant role in the conscious decisionmaking of the members. In this paper, the problem of cooperation is analyzed in a population of players with the memory model embodied in the ACT-R cognitive architecture (Anderson and Lebiere, 1998). Using agent-based simulations, it is shown that in a population of memory-based agents, spatial structure supports higher levels of cooperation in comparison to the well mixed paradigm.
KeywordsProduction Rule Neighborhood Size Evolutionary Game Complex Adaptive System Procedural Memory
Unable to display preview. Download preview PDF.
- 1.Anderson, J. and Lebiere, C. (1998). The atomic components of thought. Lawrence Erlbaum Associates.Google Scholar
- 3.Aunger, R. (2001). Darwinizing culture: The status of memetics as a science. Oxford University Press, USA.Google Scholar
- 4.Axelrod, R. (1984). The evolution of cooperation. Basic Brook, New York.Google Scholar
- 5.Axtell, R. (2000). Why agents? on the varied motivation for agent computing in the social sciences. Brookings Institution CSED Technical Report.Google Scholar
- 6.Axtell, R. (2001). Effects of interaction topology and activation regime in several multi-agent systems. Multi-Agent-Based Simulation, pages 33–48.Google Scholar
- 8.Gonzalez, C. and Lebiere, C. (2005). Instance-based cognitive models of decision making. In D., Z. and Courakis, A., editors, Transfer of Knowledge in Economic Decision Making. New York: Palgrave McMillan.Google Scholar
- 13.Lebiere, C., Wallach, D., and West, R. L. (2000). A memory-based account of the prisoner’s dilemma and other 2× 2 games. In Proceedings of the 3rd International Conference on Cognitive Modeling, Groningen, Netherlands, pages 185–193.Google Scholar
- 14.Miller, J. and Page, S. (2007). Complex Adaptive Systems: An Introduction to Computational Models of Social Life. Princeton University Press.Google Scholar
- 15.Nowak, M., Bonhoeffer, S., and May, R. (1994). Spatial games and the maintenance of cooperation. Proceedings of the National Academy of Sciences of the United States of America, 91(11):4877.Google Scholar
- 17.Petrov, A. (2006). Computationally efficient approximation of the base-level learning equation in act-r. In Proceedings of the Seventh International Conference on Cognitive Modeling, pages 391–392.Google Scholar
- 18.Szilagyi, M. (2003). An investigation of n-person prisoners’ dilemmas. Complex Systems, 14(2):155–174.Google Scholar
- 19.Taatgen, N., Lebiere, C., and Anderson, J. (2006). Modeling paradigms in act-r. In Sun, R., editor, Cognition and multi-agent interaction: From cognitive modeling to social simulation, pages 29–52. Cambridge University Press.Google Scholar