Programmatic detection of spatial behaviour in an agent-based model.

Title: Programmatic detection of spatial behaviour in an agent-based model.
Creator: Chivers, William J.; Gladstone, William; Herbert, Ric D.
Relation: Information Technology in Industry Vol. 2, Issue 2, p. 38-43
Relation: http://www.it-in-industry.org/index.php/itii/article/view/26
Publisher: IT In Industry
Resource Type: journal article
Date: 2014
Description: The automated detection of aspects of spatial behaviour in an agent-based model is necessary for model testing and analysis. In this paper we compare four predictors of herding behaviour in a model of a grazing herbivore. We find that a) the mean number of neighbours adjusted to account for population variation and b) the mean Hamming distance between rows of the two-dimensional environment can be used to detect herding. Visual inspection of the model behaviour revealed that herding occurs when the herbivore mobility reaches a threshold level. Using this threshold we identify a limits for these predictors to use in the program code. These results apply only to one set of parameters and environment size; future research will involve a wider parameter space.
Subject: agent-based model; herding behaviour; model testing; spatial behaviour
Identifier: http://hdl.handle.net/1959.13/1298243
Identifier: uon:19623
Identifier: ISSN:2204-0595
Language: eng
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