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The Third Way of Agent-Based Social Simulation and a Computational Account of Emergence

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  • Roy Wilson

Abstract

This paper interprets a particular agent-based social simulation (ABSS) in terms of the third way of understanding agent-based simulation proposed by Conte. It is proposed that the normalized compression distance (derived from estimates of Kolmogorov complexity) between the initial and final macrolevel states of the ABSS provides a quantitative measure of the degree to which the results obtained via the ABSS might be obtained via a closed-form expression. If the final macrolevel state of an ABSS can only be obtained by simulation, this confers on agent-based social simulations a special status. Future empirical (computational) work and epistemological analyses are proposed.

Suggested Citation

  • Roy Wilson, 2010. "The Third Way of Agent-Based Social Simulation and a Computational Account of Emergence," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 13(3), pages 1-8.
    • Handle: RePEc:jas:jasssj:2010-10-1
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    References listed on IDEAS

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    1. Alan Baker, 2010. "Simulation-Based Definitions of Emergence," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 13(1), pages 1-9.
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