Colloquium PaperAdaptive Agents Intelligence and Emergent Human Organization: Capturing Complexity through Agent-Based Modeling: Invariance and universality in social agent-based simulations

摘要

Agent-based simulation models have a promising future in the social sciences, from political science to anthropology, economics, and sociology. To realize their full scientific potential, however, these models must address a set of key problems, such as the number of interacting agents and their geometry, network topology, time calibration, phenomenological calibration, structural stability, power laws, and other substantive and methodological issues. This paper discusses and highlights these problems and outlines some solutions.