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Istituto di scienze e tecnologie della cognizione

Torna all'elenco Contributi in rivista anno 2011

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

Autori CNR:


Lingua: inglese

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


Swarm intelligence Springer Science + Business Media Inc.
Paese di pubblicazione: Stati Uniti d'America
Lingua: inglese
ISSN: 1935-3820

Numero volume: 5

Numero fascicolo: 1

DOI: 10.1007/s11721-010-0050-8

Referee: Sì: Internazionale

Indicizzato da: Scopus [2-s2.0-78751572785]

Parole chiave:

  • Artificial life
  • Cognitive neurosciences
  • Self-organisation
  • Social ethology
  • Swarm Cognition

URL: http://www.scopus.com/inward/record.url?eid=2-s2.0-78751572785&partnerID=q2rCbXpz

Strutture CNR:


Allegati: Swarm Cognition: An interdisciplinary approach to the study of self-organising biological collectives (application/pdf)

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