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Contributo in rivista
Tipo: Articolo in rivista
Titolo: Swarm Cognition: An interdisciplinary approach to the study of self-organising biological collectives
Anno di pubblicazione: 2011
Formato: Elettronico Cartaceo
Autori: Trianni V.; Tuci E.; Passino K.M.; Marshall J.A.R.
Affiliazioni autori: IRIDIA-CoDE, ULB, Avenue F. Roosevelt, n. 50, CP 194/6, 1050 Brussels, Belgium; Department of Computer Science, Aberystwyth University, Aberystwyth SY23 3DB, United Kingdom; Dept. Electrical and Computer Engineering, Ohio State University, 2015 Neil Avenue, Columbus, OH 43210-1272, United States; Department of Computer Science, University of Sheffield, Regent Court, 211 Portobello, Sheffield S1 4DP, United Kingdom
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. © 2010 Springer Science + Business Media, LLC.
Lingua abstract: inglese
Pagine da: 3
Pagine a: 18
Springer Science + Business Media Inc.
Numero volume: 5
Numero fascicolo: 1
Referee: Sì: Internazionale
Indicizzato da: Scopus [2-s2.0-78751572785]
Allegati: Swarm Cognition: An interdisciplinary approach to the study of self-organising biological collectives
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