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dc.contributor.author Trianni, Vito
dc.contributor.author Tuci, Elio
dc.contributor.author Passino, Kevin M.
dc.contributor.author Marshall, James
dc.date.accessioned 2011-01-25T09:30:01Z
dc.date.available 2011-01-25T09:30:01Z
dc.date.issued 2011-03-01
dc.identifier.citation Trianni , V , Tuci , E , Passino , K M & Marshall , J 2011 , ' Swarm Cognition: an Interdisciplinary Approach to the study of Self-organising Biological Collectives ' Swarm Intelligence , vol 5 , no. 1 , pp. 3-18 . , 10.1007/s11721-010-0050-8 en
dc.identifier.issn 1935-3812
dc.identifier.other PURE: 157258
dc.identifier.other dspace: 2160/6094
dc.identifier.uri http://hdl.handle.net/2160/6094
dc.description Trianni V., Tuci E., Passino K.M., Marshall J.A.R., Swarm Cognition: an Interdisciplinary Approach to the study of Self-organising Biological Collectives. Special Issue on “Swarm Cognition”, Swarm Intelligence Journal, Springer, Vol. 5, Issue 1, pp 3-18, 2011. specialissue: Swarm Cognition en
dc.description.abstract Basic elements of cognition have been identified in the behaviour displayed by animal collectives, ranging from honeybee swarms to human societies. For example, an insect swarm is often considered a “super-organism” that appears to exhibit cognitive behaviour as a result of the interactions among the individual insects and between the insects and the environment. Progress in disciplines such as neurosciences, cognitive psychology, social ethology and swarm intelligence has allowed researchers to recognise and model the distributed basis of cognition and to draw parallels between the behaviour of social insects and brain dynamics. In this paper, we discuss the theoretical premises and the biological basis of Swarm Cognition, a novel approach to the study of cognition as a distributed self-organising phenomenon, and we point to novel fascinating directions for future work. en
dc.format.extent 16 en
dc.language.iso eng
dc.relation.ispartof Swarm Intelligence en
dc.subject Swarm Cognition en
dc.subject Social ethology en
dc.subject Cognitive neurosciences en
dc.subject Self-organisation en
dc.subject Artificial life en
dc.title Swarm Cognition: an Interdisciplinary Approach to the study of Self-organising Biological Collectives en
dc.type Text en
dc.type.publicationtype Special issue (Journal) en
dc.identifier.doi http://dx.doi.org/10.1007/s11721-010-0050-8
dc.contributor.institution Department of Computer Science en
dc.contributor.institution Intelligent Robotics Group en
dc.description.status Peer reviewed en


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