Agent-Based Models and their Development Through the Lens of Networks

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Chen, Shu-Heng and Venkatachalam, Ragupathy. 2017. Agent-Based Models and their Development Through the Lens of Networks. In: Yuji Aruka and Alan Kirman, eds. Economic Foundations for Social Complexity Science: Theory, Sentiments, and Empirical Laws. Singapore: Springer, pp. 89-106. ISBN 978-981-10-5704-5 [Book Section]

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Official URL: http://www.springer.com/la/book/9789811057045

Abstract or Description

In this paper we attempt to provide a historical overview of the development of agent-based models from a network perspective. We trace two distinct stages in the development of agent-based models - first genera- tion models (prior to the 1990s) and second generation models (since the late 1990s), with a salient break in the middle. We highlight the nexus and syn- ergies between these two approaches. We show that the early developments of agent-based models in the cellular automata tradition contained crucial ingredients concerning networks in them even before they were applied to the social sciences. We argue that networks or interconnectivity (coupling) is a fundamental feature that has enabled agent-based modelers to develop a unique version of complexity science, both in terms of ontology and episte- mology.

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Book Section

Identification Number (DOI):

https://doi.org/10.1007/978-981-10-5705-2