As in the physical sciences, theoretical modeling in the social sciences typically entails the
specification and analysis of parameterized systems of differential equations. Many critical …

Appendix AA Guide for Newcomers to Agent-Based Modeling in the Social Sciences -
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This paper provides an overview on the impact of agent-based models in the social
sciences. It focuses on the reasons why agent-based models are seen as important …

This proceedings volume is based on the conference on 'Econophysics of Agentbased
models' held at Saha Institute of Nuclear Physics, Kolkata during November 8–12, 2012 …

Mirowski [Mirowski, P., 2007. Markets come to bits: evolution, computation, and markomata
in economic science. Journal of Economic Behavior and Organization 63, 209–242] argues …

Standard neoclassical economics asks what agents' actions, strategies, or expectations are
in equilibrium with (consistent with) the outcome or pattern these behaviors aggregatively …

Analytical sociology focuses on social interactions among individuals and the hard-to-
predict aggregate outcomes they bring about. It seeks to identify generalizable mechanisms …

The many motivations for employing agent-based computation in the social sciences are
reviewed. It is argued that there exist three distinct uses of agent modeling techniques. One …

The tremendous development of an easy access to computational power within the last 30
years has led to the widespread use of numerical approaches in almost all scientific …

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 …