Convergence and Hardness of Strategic Schelling Segregation

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Abstract

The phenomenon of residential segregation was captured by Schelling’s famous segregation model where two types of agents are placed on a grid and an agent is content with her location if the fraction of her neighbors which have the same type as her is at least (formula presented), for some (formula presented). Discontent agents simply swap their location with a randomly chosen other discontent agent or jump to a random empty cell. We analyze a generalized game-theoretic model of Schelling segregation which allows more than two agent types and more general underlying graphs modeling the residential area. For this we show that both aspects heavily influence the dynamic properties and the tractability of finding an optimal placement. We map the boundary of when improving response dynamics (IRD) are guaranteed to converge and we prove several sharp threshold results where guaranteed IRD convergence suddenly turns into a strong non-convergence result: a violation of weak acyclicity. In particular, we show threshold results also for Schelling’s original model, which is in contrast to the standard assumption in many empirical papers. In case of convergence we show that IRD find equilibria quickly.

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Echzell, H., Friedrich, T., Lenzner, P., Molitor, L., Pappik, M., Schöne, F., … Stangl, D. (2019). Convergence and Hardness of Strategic Schelling Segregation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11920 LNCS, pp. 156–170). Springer. https://doi.org/10.1007/978-3-030-35389-6_12

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