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Cited by 2,441

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Growing Artificial Societies: Social Science from the Bottom Up

Epstein, Joshua M., Axtell, Robert L.·1996
DOI 10.7551/mitpress/3374.001.0001
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Abstract

How do social structures and group behaviors arise from the interaction of individuals? Growing Artificial Societies approaches this question with cutting-edge computer simulation techniques. Fundamental collective behaviors such as group formation, cultural transmission, combat, and trade are seen to "emerge" from the interaction of individual agents following a few simple rules. In their program, named Sugarscape, Epstein and Axtell begin the development of a "bottom up" social science that is capturing the attention of researchers and commentators alike. The study is part of the 2050 Project, a joint venture of the Santa Fe Institute, the World Resources Institute, and the Brookings Institution. The project is an international effort to identify conditions for a sustainable global system in the next century and to design policies to help achieve such a system. Copublished with the Brookings Institution Bradford Books imprint

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  • Complex systems scientists have explored emergent behavior and phase transitions, but not in the context of adversarial AI interactions.

    “Complex systems scientists have explored emergent behavior (Kauffman, 1993;Epstein & Axtell, 1996), and phase transitions (Langton, 1990b), but not in the context of adversarial AI interactions.”

    From Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents (2025) · cites this paper as Epstein & Axtell, 1996

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Metadata

Authors
Epstein, J. M., & Axtell, R. L.
Publisher
The MIT Press
Published
1996-10-11
DOI
10.7551/mitpress/3374.001.0001
Cited by
2,441
References
0
Language
en

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