The Power of Intelligence Emerging from Swarms

Swarm intelligence (SI) is a field of study that seeks to understand and model collective behaviors observed in natural social systems, such as ant colonies, bee hives, termite mounds, flocks of birds or schools of fish. The central principle of SI is that complex intelligent behaviors can emerge from the interactions of large numbers of simple individual entities, without any centralized control or monitoring. SI researchers aim to uncover the underlying principles and mechanisms behind this SI, with the aim of applying these concepts to solve complex problems in areas such as optimization, robotics, transport, IT, etc. As the field continues to evolve, SI is expected to have an increasingly significant impact on our understanding of biological systems and our ability to design intelligent systems capable of adapting and thriving in complex environments and dynamic. This article aims to introduce the reader to the field of SI, presenting its fundamental concepts, key principles, existing applications, and prospective future developments.

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Publication Details

Journal
Computer Science
Published
2025-04-01
DOI
https://doi.org/10.7494/csci.2025.26.1.6306
Citations
2
Primary Topic
Genetics, Bioinformatics, and Biomedical Research
Type
article
Field-Weighted Citation Impact
1.61
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article

The Power of Intelligence Emerging from Swarms

Rachid Adrdor
2 citations
Computer Science
Genetics, Bioinformatics, and Biomedical Research
1.61
article

The Power of Intelligence Emerging from Swarms

Rachid Adrdor
article en
2 citations

Abstract

Swarm intelligence (SI) is a field of study that seeks to understand and model collective behaviors observed in natural social systems, such as ant colonies, bee hives, termite mounds, flocks of birds or schools of fish. The central principle of SI is that complex intelligent behaviors can emerge from the interactions of large numbers of simple individual entities, without any centralized control or monitoring. SI researchers aim to uncover the underlying principles and mechanisms behind this SI, with the aim of applying these concepts to solve complex problems in areas such as optimization, robotics, transport, IT, etc. As the field continues to evolve, SI is expected to have an increasingly significant impact on our understanding of biological systems and our ability to design intelligent systems capable of adapting and thriving in complex environments and dynamic. This article aims to introduce the reader to the field of SI, presenting its fundamental concepts, key principles, existing applications, and prospective future developments.

Computer ScienceVol. 26(1)
Régie Autonome Multi Services D'Agadir (MA)
Openalex Percentile: Top 18%
Genetics, Bioinformatics, and Biomedical Research
1.61
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The Power of Intelligence Emerging from Swarms — Rachid Adrdor · Computer Science (2025) | TGRS Research Map | TGRS