Abstract
This paper describes a method to build artificial societies that are capable of expanding themselves from bottom-up in order to adapt to changes occurring in the environment. These changes trigger social issues at the individual level which are reported at the global level. Then, the society expands itself with an organization enforcing individual behavior that copes with the issue. We apply this method to model the first stages of human societies. These stages are confronted with dramatic changes in the population size. These changes lead to the creation of social-control organizations to face the evolution from a familial tribe, to an autocratic chiefdom to finally reach a bureaucratic state. ©Springer-Verlag Berlin Heidelberg 2014.
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CITATION STYLE
Vanhée, L., Ferber, J., & Dignum, F. (2014). Agent-based evolving societies. In Advances in Intelligent Systems and Computing (Vol. 229 AISC, pp. 283–294). Springer Verlag. https://doi.org/10.1007/978-3-642-39829-2_25
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