Philosophy of Science 79 (1):38-62 (2012)

Authors
Michael Weisberg
University of Pennsylvania
Ryan Muldoon
State University of New York, Buffalo
Abstract
This paper examines a series of Schelling-like models of residential segregation, in which agents prefer to be in the minority. We demon- strate that as long as agents care about the characteristics of their wider community, they tend to end up in a segregated state. We then investigate the process that causes this, and conclude that the result hinges on the similarity of informational states amongst agents of the same type. This is quite di erent from Schelling-like behavior, and sug- gests (in his terms) that segregation is an instance of macro behavior which can arise from a wide variety of micro motives.
Keywords Segregation  Agent-based simulation  robustness
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DOI 10.1086/663236
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References found in this work BETA

Robustness Analysis.Michael Weisberg - 2006 - Philosophy of Science 73 (5):730-742.
The Robust Volterra Principle.Michael Weisberg & Kenneth Reisman - 2008 - Philosophy of Science 75 (1):106-131.
Robust Simulations.Ryan Muldoon - 2007 - Philosophy of Science 74 (5):873-883.

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Citations of this work BETA

Understanding (with) Toy Models.Alexander Reutlinger, Dominik Hangleiter & Stephan Hartmann - 2018 - British Journal for the Philosophy of Science 69 (4):1069-1099.
Understanding From Machine Learning Models.Emily Sullivan - forthcoming - British Journal for the Philosophy of Science:axz035.
Understanding with Theoretical Models.Petri Ylikoski & N. Emrah Aydinonat - 2014 - Journal of Economic Methodology 21 (1):19-36.
Understanding (With) Toy Models.Alexander Reutlinger, Dominik Hangleiter & Stephan Hartmann - 2016 - British Journal for the Philosophy of Science:axx005.
What’s New in the New Ideology Critique?Kirun Sankaran - 2020 - Philosophical Studies 177 (5):1441-1462.

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