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

Swarm Cognition: an interdisciplinary approach to the study of self-organising biological collectives
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DOI:
10.1007/s11721-010-0050-8
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发表时间:
2011-03
期刊:
影响因子:
2.6
通讯作者:
V. Trianni;E. Tuci;K. M. Passino;James A. R. Marshall
V. Trianni;E. Tuci;K. M. Passino;James A. R. Marshall
中科院分区:
计算机科学3区
文献类型:
--
作者:
V. Trianni;E. Tuci;K. M. Passino;James A. R. Marshall

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从蜜蜂群到人类社会,动物群体所表现出的行为已经确定了认知的基本要素。例如,昆虫群通常被认为是一种“超级有机体”,其表现出的认知行为是个体昆虫之间以及昆虫与环境之间相互作用的结果。神经科学、认知心理学、社会行为学和群体智能等学科的进步使研究人员能够识别和模拟认知的分布式基础,并在社会昆虫的行为和大脑动力学之间建立相似之处。在本文中,我们讨论的理论前提和生物学基础ofSwarm认知,一种新的方法来研究认知作为一个分布式的自组织现象,我们指出新的迷人的方向,为未来的工作。
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 ofSwarm 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.