title: Distributed nestmate recognition in ants.
abstract: We propose a distributed model of nestmate recognition, analogous to the one used by the vertebrate immune system, in which colony response results from the diverse reactions of many ants. The model describes how individual behaviour produces colony response to non-nestmates. No single ant knows the odour identity of the colony. Instead, colony identity is defined collectively by all the ants in the colony. Each ant responds to the odour of other ants by reference to its own unique decision boundary, which is a result of its experience of encounters with other ants. Each ant thus recognizes a particular set of chemical profiles as being those of non-nestmates. This model predicts, as experimental results have shown, that the outcome of behavioural assays is likely to be variable, that it depends on the number of ants tested, that response to non-nestmates changes over time and that it changes in response to the experience of individual ants. A distributed system allows a colony to identify non-nestmates without requiring that all individuals have the same complete information and helps to facilitate the tracking of changes in cuticular hydrocarbon profiles, because only a subset of ants must respond to provide an adequate response.
authors.affiliation: Department of Computer Science, Instituto Tecnológico Autónomo de México, México D.F. 01080, Mexico.
authors.forename: Fernando
authors.initials: F
authors.lastname: Esponda
authors.affiliation: Department of Biology, Stanford University, CA 94305, USA dmgordon@stanford.edu.
authors.forename: Deborah M
authors.initials: DM
authors.lastname: Gordon
mesh_terms: D000818:Animals; D001000:Ants / Q000502:physiology*; D003463:Cues; D007858:Learning; D008954:Models, Biological; D009425:Nesting Behavior; D009812:Odorants
keywords: cuticular hydrocarbons; distributed systems; natural computing; nestmate recognition
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