Author: Retzlaff, C. O.; Ziefle, M.; Calero Valdez, A.
Title: The History of Agent-Based Modeling in the Social Sciences Cord-id: hbt9z1pu Document date: 2021_1_1
ID: hbt9z1pu
Snippet: Agent-based modeling is a powerful technique that allows modeling social phenomena ab-initio or from first principles. In this paper, we review the history of agent-based models and their role in the social sciences. We review 62 papers and create a timeline of developments starting from 1759 and Adam Smith into the recent past of 2020 and efforts to model the Covid-19 pandemic. We reflect on model validation, different levels of model complexity, multi-scale models, and cognitive architectures.
Document: Agent-based modeling is a powerful technique that allows modeling social phenomena ab-initio or from first principles. In this paper, we review the history of agent-based models and their role in the social sciences. We review 62 papers and create a timeline of developments starting from 1759 and Adam Smith into the recent past of 2020 and efforts to model the Covid-19 pandemic. We reflect on model validation, different levels of model complexity, multi-scale models, and cognitive architectures. We identify key trends for the future use of agent-based modeling in the socials sciences. © 2021, Springer Nature Switzerland AG.
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