Simulating the evolution of archaic states

This paper develops a multi-agent model based upon cultural algorithms that simulates the evolution of complex social systems in the Valley of Oaxaca, Mexico. We operationalize the "evolution without stages" model of state evolution described by J. Marcus and K.V. Flannery (1996). Agents are based at sites and have plans for production and resource exchange with other agents. Agents interact via an evolving game matrix that begins as a "prisoner's dilemma" model and can evolve into a "warden's dilemma" model. Cultural algorithms are used to model agent learning as the environment evolves.

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