Agent-based modeling in social science, history, and philosophy

Who it's for: Ideal for learners in the social sciences or humanities who are seeking to deepen their understanding of agent-based modelling applications and methodologies.

Why we love it: This paper delves into the realm of agent-based modeling (ABM) in the social sciences, history, and philosophy, highlighting its utility in simulating complex social phenomena through individual interactions. The authors provide a nuanced overview of ABM by discussing categories of modelling approaches based on the type of target system addressed, the intended modelling goals, and the model's degree of abstraction. All this is done in reference to debates in contemporary philosophical sciences to provide applied examples.

Citation: Klein, D., Marx, J., & Fischbach, K. (2018). Agent-Based Modeling in Social Science, History, and Philosophy. An Introduction. Historical Social Research / Historische Sozialforschung, 43(1 (163)), 7–27.