Some Extensions to Schelling's Segregation Model

EasyChair Preprint no. 8990

Abstract

This work presents the first results of a series of works where extensions to the Schelling segregation model are proposed, one of the key models in the genesis and development of Agent-Based Models (ABM) and Complex Systems Theory. In this work the Schelling model is introduced, some of the most relevant extensions that have been proposed so far are summarized and 4 new extensions are proposed. To monitor the results of each model, a set of indicators or metrics are used to assess the degree of segregation obtained and the path followed in each case. From these exercises it can be deduced that the incorporation of random individual preferences does not necessarily deepen the results in terms of segregation. On the other hand, the inclusion of a feedback mechanism from which agents become less tolerant as segregation increases generates interesting dynamics, giving rise to the formation of small ghettos, even in the presence of initially very tolerant agents. , can trigger a process that ends with a highly segregated urban space with very low levels of tolerance between groups. All the files necessary to reproduce the results presented are available at: \url{https://gitlab.com/iesta.fcea .udelar/extensions-to-the-schelling-segregation-model} .

Keyphrases: Modelos computacionales, Segregación espacial, Simulación

@Booklet{EasyChair:8990,
  author = {Ramón Álvarez-Vaz and Gonzalo De Armas and Daniel Ciganda},
  title = {Some Extensions to Schelling's Segregation Model},
  howpublished = {EasyChair Preprint no. 8990},

  year = {EasyChair, 2022}}