Introduction and Overview › Glossary for Networking Language · 1 min read
Swarm intelligence describes the ability of many individual actors to generate solutions, orientation, and adaptability through simple feedback and decentralized interaction.
There is usually no central control. Intelligence emerges from the relationships and feedback among the individual participants.
Swarm intelligence can be observed in many natural systems:
Each individual has only limited information. Yet, through the interaction of many, a remarkably efficient overall system emerges.
Swarm intelligence is based on a few simple principles:
This allows complex problems to be solved without a central authority needing to possess all the information.
Communities, projects, and networks can also utilize elements of swarm intelligence.
When information flows freely, experiences are shared, and people can respond to one another, a higher collective learning capacity emerges.
Swarm intelligence does not replace responsibility or leadership—it enhances a system's ability to respond to change.
Swarm intelligence alone does not guarantee good decisions.
Swarms can also make mistakes, misinterpret information, or reinforce unfavorable patterns.
Therefore, human swarm intelligence additionally requires reflection, ethics, experience, and orientation.
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By the TEIKEI editorial team, with AI support (ChatGPT)
Created on June 10, 2026 · Last updated on October 11, 2026
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