Agent-Based Simulation and Sociological Understanding

Perspectives on Science 22 (3):318-335 (2014)
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Abstract

This article discusses agent-based simulation (ABS) as a tool of sociological understanding. I argue that agent-based simulations can play an important role in the expansion of explanatory understanding in the social sciences. The argument is based on an inferential account of understanding (Ylikoski 2009, Ylikoski & Kuorikoski 2010), according to which computer simulations increase our explanatory understanding by expanding our ability to make what-if inferences about social processes and by making these inferences more reliable. The inferential account also suggests a number of ways in which the use of simulation methodology might give rise to illusory understanding. The structure of the article is as ..

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Petri Ylikoski
University of Helsinki

Citations of this work

Explicating objectual understanding: taking degrees seriously.Christoph Baumberger - 2019 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 1:1-22.
Explicating Objectual Understanding: Taking Degrees Seriously.Christoph Baumberger - 2019 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 50 (3):367-388.
Understanding with theoretical models.Petri Ylikoski & N. Emrah Aydinonat - 2014 - Journal of Economic Methodology 21 (1):19-36.

View all 16 citations / Add more citations

References found in this work

Dissecting explanatory power.Petri Ylikoski & Jaakko Kuorikoski - 2010 - Philosophical Studies 148 (2):201–219.
Causal Mechanisms in the Social Sciences.Peter Hedström & Petri Ylikoski - 2010 - Annual Review of Sociology 36:49–67.
Understanding with theoretical models.Petri Ylikoski & N. Emrah Aydinonat - 2014 - Journal of Economic Methodology 21 (1):19-36.

View all 11 references / Add more references