Weiteres Paper

Extensiones al modelo de segregación de Schelling: primera parte

De-Armas, G., Rodríguez-Collazo, S., Álvarez-Vaz, R., Carrasco, H., Ciganda, D.
Extensions to Schelling's segregation model: part 1
IESTA Working Papers 2/20
33 pages.
Montevideo, IESTA (2020)
OpenAccess
Reproduzierbar

Abstract

This article presents the first results of a series of studies that propose extensions to Schelling's segregation model, one of the key models in the genesis and development of Agent-Based Models (MBA) and Complex Systems Theory.
In this first 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 that allow evaluating the degree of segregation obtained and the trajectory followed in each case. From these exercises a set of results can be deduced, for example, 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. In this stage, The reduction of opportunities for exchange between the different classes / groups / ethnic groups that coexist in the urban space leads to stereotyping and mutual stigmatization, resulting in 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 and with very low levels of tolerance between groups. The work uses the R programming language to implement the model, perform simulations, and analyze scenarios. All the files necessary to reproduce the presented results are available at: even in the presence of initially very tolerant agents, it can trigger a process that ends with a highly segregated urban space and with very low levels of tolerance between groups. The work uses the R programming language to implement the model, perform simulations, and analyze scenarios. All the files necessary to reproduce the presented results are available at: even in the presence of initially very tolerant agents, it can trigger a process that ends with a highly segregated urban space and with very low levels of tolerance between groups. The work uses the R programming language to implement the model, perform simulations, and analyze scenarios. All the files necessary to reproduce the presented results are available at: https://gitlab.com/iesta.fcea.udelar/extensiones-al-modelo-de-segregaci-n-de-schelling.

Schlagwörter: simulation
Das Max-Planck-Institut für demografische Forschung (MPIDR) in Rostock ist eines der international führenden Zentren für Bevölkerungswissenschaft. Es gehört zur Max-Planck-Gesellschaft, einer der weltweit renommiertesten Forschungsgemeinschaften.