Collective intelligence in social animals

Stephen C. Pratt

doi:10.1016/B978-0-12-809633-8.90137-7

Collective intelligence in social animals

Stephen C. Pratt

Life Sciences, School of (SOLS)

Research output: Chapter in Book/Report/Conference proceeding › Chapter

1 Scopus citations

Abstract

Collective intelligence arises when a group of agents acts as a single cognitive unit to solve problems, make decisions, and carry out other complex tasks. Intelligence emerges from local interactions among a large number of individuals, none of whom acts as a leader or central controller. Although especially well-described in the social insects, it is found throughout the natural world, from the complex behavior of bacterial communities to the coordinated motion of fish schools and bird flocks. These biological examples have in turn inspired engineers to develop artificial robot collectives and decentralized computational algorithms.

Original language	English (US)
Title of host publication	Encyclopedia of Animal Behavior
Publisher	Elsevier
Pages	754-761
Number of pages	8
ISBN (Electronic)	9780128132517
DOIs	https://doi.org/10.1016/B978-0-12-809633-8.90137-7
State	Published - Jan 1 2019

Keywords

Cognition
Collective decision-making
Communication
Consensus
Learning
Memory
Nest site selection
Nonlinear systems
Positive feedback
Quorum sensing
Rationality
Recruitment
Social foraging
Social insects

ASJC Scopus subject areas

General Agricultural and Biological Sciences
General Environmental Science

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10.1016/B978-0-12-809633-8.90137-7

Cite this

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abstract = "Collective intelligence arises when a group of agents acts as a single cognitive unit to solve problems, make decisions, and carry out other complex tasks. Intelligence emerges from local interactions among a large number of individuals, none of whom acts as a leader or central controller. Although especially well-described in the social insects, it is found throughout the natural world, from the complex behavior of bacterial communities to the coordinated motion of fish schools and bird flocks. These biological examples have in turn inspired engineers to develop artificial robot collectives and decentralized computational algorithms.",

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KW - Cognition

KW - Collective decision-making

KW - Communication

KW - Consensus

KW - Learning

KW - Memory

KW - Nest site selection

KW - Nonlinear systems

KW - Positive feedback

KW - Quorum sensing

KW - Rationality

KW - Recruitment

KW - Social foraging

KW - Social insects

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M3 - Chapter

SP - 754

EP - 761

BT - Encyclopedia of Animal Behavior

PB - Elsevier

ER -

Collective intelligence in social animals

Abstract

Keywords

ASJC Scopus subject areas

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