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

被引:46
作者
Trianni, Vito [1 ]
Tuci, Elio [2 ]
Passino, Kevin M. [3 ]
Marshall, James A. R. [4 ]
机构
[1] ULB, IRIDIA CoDE, B-1050 Brussels, Belgium
[2] Aberystwyth Univ, Dept Comp Sci, Aberystwyth SY23 3DB, Dyfed, Wales
[3] Ohio State Univ, Dept Elect & Comp Engn, Columbus, OH 43210 USA
[4] Univ Sheffield, Dept Comp Sci, Sheffield S1 4DP, S Yorkshire, England
基金
英国生物技术与生命科学研究理事会;
关键词
Swarm Cognition; Social ethology; Cognitive neurosciences; Self-organisation; Artificial life; OPTIMAL DECISION-MAKING; SOCIAL INSECTS; REACTION-TIME; SELECTION; BEHAVIOR; MODELS; MEMORY; CHOICE; ANTS; BEES;
D O I
10.1007/s11721-010-0050-8
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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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页码:3 / 18
页数:16
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