Simulating the evolution of archaic states

Author

Reynolds, Robert G. ; Lazar, Alina

Author_Institution

Dept. of Comput. Sci., Wayne State Univ., Detroit, MI, USA

Volume

1

fYear

2002

Firstpage

861

Lastpage

866

Abstract

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

Keywords

evolutionary computation; game theory; learning (artificial intelligence); modelling; multi-agent systems; planning (artificial intelligence); simulation; social sciences computing; Oaxaca Valley, Mexico; agent interaction; agent learning model; agent plans; agent sites; archaic state evolution simulation; complex social systems evolution; cultural algorithms; environment evolution; evolution-without-stages model; evolving game matrix; multi-agent model; prisoner´s dilemma; production planning; resource exchange; state evolution; warden´s dilemma; Agriculture; Computational modeling; Computer science; Computer simulation; Cultural differences; Decision making; Game theory; Government; Production; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on

Conference_Location

Honolulu, HI

Print_ISBN

0-7803-7282-4

Type

conf

DOI

10.1109/CEC.2002.1007038

Filename

1007038