Abstract
Agent-based models are sometimes associated with a commitment to methodological individualism. In this paper, we explore this linkage through an examination of the following two claims: (1) agent-based models may only be used to provide individualist explanations, and (2) agent-based models should only be employed to offer individualist explanations. We argue that both these claims should be rejected.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
We refer here throughout to ABMs. Most of what we say should be equally applicable to close cousins in computational social science and to parts of evolutionary game theory models, though we do not make that case here.
- 2.
The following discussion is an extension of earlier work in [24].
References
Agassi, J.: Methodological individualism. Br. J. Sociol. 11(3), 244–270 (1960)
Agassi, J.: Institutional individualism. Br. J. Sociol. 26(2), 144–155 (1975)
Billari, F., Praskawetz, A. (eds.): Agent-Based Computational Demography. Springer, New York (2003)
Chen, S.-H.: Agent-Based Computational Economics: How the Idea Originated and Where it Is Going. (Routledge Advances in Experimental and Computable Economics Book). Routledge, New York (2017)
Dennett, D.: Real patterns. J. Philos. 88, 27–51 (1991)
Elder-Vass, D.: The Causal Powers of Social Structures. Cambridge University Press, Cambridge (2010)
Gallegati, M., Palestrini, A., Russo, A.: Introduction to Agent-Based Economics. Academic Press, New York (2017)
Hamill, L., Gilbert, N.: Agent-Based Modelling in Economics. John Wiley, New York (2016)
Jackson, F., Pettit, P.: In defense of explanatory ecumenism. Econ. Philos. 8, 1–21 (1992)
Jarvie, I.C.: Concepts and Society. Routledge and Kegan Paul, London (1972)
Kincaid, H.: Philosophical Foundations of the Social Sciences: Analyzing Controversies in Social Research. Cambridge University Press, Cambridge (1996)
Kincaid, H.: Individualism and the Unity of Science. Rowman and Littlefield, Lanham (1997)
Kincaid, H.: Open empirical and methodological issues in the individualism-holism debate. Philos. Sci. 82(5), 1127–1138 (2015)
Kohler, T., Gumerman, G. (eds.): Dynamics in Human and Primate Societies: Agent Based Modeling of Social and Spatial Processes. Oxford University Press, New York (2000)
Laver, M., Sergetti, E.: Party Competition: An Agent-Based Model. Princeton University Press, Princeton (2012)
List, C., Petit, P.: Group Agency. Oxford University Press, New York (2011)
O’Sullivan, D., Haklay, M.: Agent-based models and individualism: is the world agent-based? Environ Plan A. 32, 1409–1425 (2000)
Salamon, T.: Agent-Based Models: Developing Computer Simulations for a Better Understanding of Social Processes. Academic Series, Zvonin (2011)
Sawyer, R.K.: The mechanisms of emergence. Philos. Soc. Sci. 34(2), 260–282 (2004)
Squazzoni, F.: Agent-Based Computational Sociology. Wiley, New Work (2012)
Wan, P.Y.: Emergence à la systems theory: epistemological Totalausschluss or ontological novelty? Philos. Soc. Sci. 41(2), 178–210 (2011)
Watkins, J.W.N.: Historical explanations in the social sciences. Br. J. Philos. Sci. 8(30), 104–117 (1957)
Zahle, J.: Methodological holism in the social sciences. In: Zalta, E.N. (ed.) Stanford Encyclopedia of Philosophy, http://plato.stanford.edu/, pp. 1–39 (2016)
Zahle, J., Kincaid, H.: Why be a methodological individualist? Synthese. 196(2), 655–675 (2019)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Zahle, J., Kincaid, H. (2020). Agent-Based Modeling with and Without Methodological Individualism. In: Verhagen, H., Borit, M., Bravo, G., Wijermans, N. (eds) Advances in Social Simulation. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-34127-5_2
Download citation
DOI: https://doi.org/10.1007/978-3-030-34127-5_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-34126-8
Online ISBN: 978-3-030-34127-5
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)