Programmatic detection of spatial behaviour in an agent-based model

Chivers, WJ; Gladstone, W; Herbert, RD

Programmatic detection of spatial behaviour in an agent-based model

Chivers, WJ Gladstone, W

Herbert, RD

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Publication Type:: Journal Article
Citation:: Informaton Technology in Industry, 2014, 2 (2), pp. 38 - 43
Issue Date:: 2014

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Field	Value	Language
dc.contributor.author	Chivers, WJ	en_US
dc.contributor.author	Gladstone, W https://orcid.org/0000-0003-4517-4605	en_US
dc.contributor.author	Herbert, RD	en_US
dc.date.issued	2014	en_US
dc.identifier.citation	Informaton Technology in Industry, 2014, 2 (2), pp. 38 - 43	en_US
dc.identifier.issn	2204-0595	en_US
dc.identifier.uri	http://hdl.handle.net/10453/119605
dc.description.abstract	The automated detection of aspects of spatial behaviourin an agent-based model is necessary for model testingand analysis. In this paper we compare four predictors of herdingbehaviour in a model of a grazing herbivore. We find that a) the mean number of neighbours adjustedto account for population variation and b) the mean Hammingdistance between rows of the two-dimensional environment can beused to detect herding. Visual inspection of the model behaviourrevealed that herding occurs when the herbivore mobility reachesa threshold level. Using this threshold we identify a limits forthese predictors to use in the program code. These results apply only to one set of parameters and environmentsize; future research will involve a wider parameterspace.	en_US
dc.relation.ispartof	Informaton Technology in Industry	en_US
dc.title	Programmatic detection of spatial behaviour in an agent-based model	en_US
dc.type	Journal Article
utslib.citation.volume	2	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	08 Information and Computing Sciences	en_US
utslib.for	19 Studies in Creative Arts and Writing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
utslib.copyright.status	open_access
pubs.consider-herdc	true	en_US
pubs.issue	2	en_US
pubs.volume	2	en_US

Abstract:

The automated detection of aspects of spatial behaviourin an agent-based model is necessary for model testingand analysis. In this paper we compare four predictors of herdingbehaviour in a model of a grazing herbivore. We find that a) the mean number of neighbours adjustedto account for population variation and b) the mean Hammingdistance between rows of the two-dimensional environment can beused to detect herding. Visual inspection of the model behaviourrevealed that herding occurs when the herbivore mobility reachesa threshold level. Using this threshold we identify a limits forthese predictors to use in the program code. These results apply only to one set of parameters and environmentsize; future research will involve a wider parameterspace.

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http://hdl.handle.net/10453/119605