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  1. May 15, 2021 · Swarm Intelligence (S.I.) was introduced by Gerardo Beni and Jing Wang in the year 1989. S.I. simply means using the knowledge of collective objects (people, insects, etc.) together and then reaching the optimized solution for a given problem.

  2. Swarm intelligence ( SI) is the collective behavior of decentralized, self-organized systems, natural or artificial. The concept is employed in work on artificial intelligence. The expression was introduced by Gerardo Beni and Jing Wang in 1989, in the context of cellular robotic systems. [1]

  3. Dec 22, 2023 · Swarm intelligence is an artificial or natural intelligence technique. It is based on studying collective behavior in decentralized and self-organized systems. Gerardo Benny and Joon Wang introduced swarm intelligence in 1989 in the context of cellular robotics systems. 2.1. Principles of Swarm Intelligence.

  4. Swarm intelligence is the study of agglomerative behavior of gregarious creatures, particularly insects, and to simulate their behavior for solving complex, nonlinear problems.

  5. Jan 19, 2024 · What is Swarm Intelligence (SI)? It is a revolutionary concept in artificial intelligence that mimics the collective behavior of decentralized, self-organizing systems, like ant colonies or bird flocks. It’s an area where simplicity rules lead to complex and efficient problem-solving. Looking to learn more about swarm intelligence?

  6. Feb 1, 2012 · Swarm Intelligence (SI) is a relatively new and potentially promising branch of Artificial Intelligence that is used to model the collective intelligent behavior of social swarms in nature.

  7. Jan 14, 2014 · Swarm intelligence is the discipline that deals with natural and artificial systems composed of many individuals that coordinate using decentralized control and self-organization. In particular, the discipline focuses on the collective behaviors that result from the local interactions of the individuals with each other and with their environment.