The role of neighbours selection on cohesion and order of swarms

We introduce a multi-agent model for exploring how selection of neighbours determines some aspects of order and cohesion in swarms. The model algorithm states that every agents' motion seeks for an optimal distance from the nearest topological neighbour encompassed in a limited attention field....

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Bibliographic Details
Published in:PloS one 2014-05, Vol.9 (5), p.e94221-e94221
Main Authors: Calvão, Angelo M, Brigatti, Edgardo
Format: Article
Language:English
Subjects:
Algorithms
Analysis
Animal behavior
Animal cognition
Animals
Behavior, Animal - physiology
Biology
Biology and Life Sciences
Cohesion
Computer and Information Sciences
Computer Simulation
Cooperative Behavior
Ecology and Environmental Sciences
Field study
Hypotheses
Models, Biological
Motor Activity - physiology
Multiagent systems
Physical Sciences
Physiology
Social aspects
Social Behavior
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Summary:We introduce a multi-agent model for exploring how selection of neighbours determines some aspects of order and cohesion in swarms. The model algorithm states that every agents' motion seeks for an optimal distance from the nearest topological neighbour encompassed in a limited attention field. Despite the great simplicity of the implementation, varying the amplitude of the attention landscape, swarms pass from cohesive and regular structures towards fragmented and irregular configurations. Interestingly, this movement rule is an ideal candidate for implementing the selfish herd hypothesis which explains aggregation of alarmed group of social animals.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0094221