Technical Report CSI-0001

Multiple Species Phase Transitions in Agent-Based Simulations of the Schelling Segregation Model

K. A. Hawick

Archived: 2013

Abstract

Simulation using agent-based models can give good insights into complex behaviours for systems of realistically large numbers of individual agents. Modelling multiple species effects in agent-based systems can resolve stand-offs and explain obstacles to growth in systems that are evolving towards a long term static or dynamic equilibrium. The Schelling model of segregation is simulated using a range of several different individual agent species. Agents form complex spatial structures as they self-organise to maximise their segregation. We implement a custom simulation code to explore a broad range of numbers of agent species. We describe various measures of complexity such as the bulk agent satisfaction fraction, the agent membership of the largest community, and the number of separate community clusters, that can all be used to identify the phase transition in the satisfaction parameter for various geometric configurations of the model. We report on systems of up to ten separate agent species on square, triangular and hexagonal lattices and also discuss implications of reversing the sense of the agent satisfaction to promote anti-ferromagnetic structures.

Keywords: Schelling segregation; agent-based model; neighbourhood effects; multiple species; agent simulation

Full Document Text: PDF version.

Citation Information: BiBTeX database for CSI Notes.

BiBTeX reference:

@TechReport{CSI-0001,
        Title = {Multiple Species Phase Transitions in Agent-Based Simulations of the Schelling Segregation Model},
        Author = {K. A. Hawick},
        Institution = {Department of Computer Science, University of Hull},
        Year = {2013},
        Address = {Robert Blackburn Building, Cottingham Road, Hull, UK},
        Month = {December},
        Number = {0001},
        Type = {CSI},
        Keywords = {Schelling segregation; agent-based model; neighbourhood effects; multiple species; agent simulation},
        Owner = {kahawick},
        Timestamp = {2014.08.17},
        Url = {http://digital.hull.ac.uk/reports/0001/csi-0001.html}
}