Literature DB >> 11162062

A trade-off in task allocation between sensitivity to the environment and response time.

H M Pereira1, D M Gordon.   

Abstract

Task allocation is the process that adjusts the number of workers in each colony task in response to the environment. There is no central coordination of task allocation; instead workers use local cues from the environment and from other workers to decide which task to perform. We examine two aspects of task allocation: the sensitivity to the environment of task distribution, and the rate of response to environmental changes. We investigate how these two aspects are influenced by: (1) colony size, and (2) behavioral rules used by workers, i.e. how a worker uses cues from the environment and from social interactions with other workers in deciding which task to perform. We show that if workers use social cues in their choice of task, response time decreases with increasing colony size. Sensitivity of task distribution to the environment may decrease or not with colony size, depending on the behavioral rules used by workers. This produces a trade-off in task allocation: short response times can be achieved by increasing colony size, but at the cost of decreased sensitivity to the environment. We show that when a worker's response to social interactions depends on the local environment, sensitivity of task distribution to the environment is not affected by colony size and the trade-off is avoided. Copyright 2001 Academic Press.

Mesh:

Year:  2001        PMID: 11162062     DOI: 10.1006/jtbi.2000.2210

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  2 in total

1.  Colony size affects division of labour in the ponerine ant Rhytidoponera metallica.

Authors:  Melissa L Thomas; Mark A Elgar
Journal:  Naturwissenschaften       Date:  2003-01-31

2.  Costs of task allocation with local feedback: Effects of colony size and extra workers in social insects and other multi-agent systems.

Authors:  Tsvetomira Radeva; Anna Dornhaus; Nancy Lynch; Radhika Nagpal; Hsin-Hao Su
Journal:  PLoS Comput Biol       Date:  2017-12-14       Impact factor: 4.475

  2 in total

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