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Swarm Cognition: an interdisciplinary approach to the study of self-organising biological collectives

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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.

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Authors and Affiliations

  1. IRIDIA-CoDE, ULB, Avenue F. Roosevelt, n. 50, CP 194/6, 1050, Brussels, Belgium

    Vito Trianni

  2. Department of Computer Science, Aberystwyth University, Aberystwyth, SY23 3DB, UK

    Elio Tuci

  3. Dept. Electrical and Computer Engineering, Ohio State University, 2015 Neil Avenue, Columbus, OH, 43210-1272, USA

    Kevin M. Passino

  4. Department of Computer Science, University of Sheffield, Regent Court, 211 Portobello, Sheffield, S1 4DP, UK

    James A. R. Marshall

Authors
  1. Vito Trianni
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  2. Elio Tuci
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  3. Kevin M. Passino
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  4. James A. R. Marshall
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Correspondence to Vito Trianni.

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Trianni, V., Tuci, E., Passino, K.M. et al. Swarm Cognition: an interdisciplinary approach to the study of self-organising biological collectives. Swarm Intell 5, 3–18 (2011). https://doi.org/10.1007/s11721-010-0050-8

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  • DOI: https://doi.org/10.1007/s11721-010-0050-8

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