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  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.
    en.wikipedia.org/wiki/Swarm_intelligence
    Swarm intelligence is a form of collective learning and decision-making based on decentralized, self-organized systems. Natural examples are commonplace—flocks of birds and schools of fish act and react as groups, without instruction or direction from any single leader.
    www.hpe.com/us/en/what-is/swarm-intelligence.html
    Swarm intelligence (SI) is a subfield of artificial intelligence (AI) that is concerned with the study of decentralized, self-organized systems, natural or artificial. SI systems are typically made up of a large number of simple agents that interact with each other and with their environment in order to accomplish a common goal.
    www.autoblocks.ai/glossary/swarm-intelligence
    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.
    www.scholarpedia.org/article/Swarm_intelligence
     
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    What is swarm intelligence?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.
    How difficult is swarm intelligence?Despite its benefits, implementing Swarm Intelligence poses a fair few challenges. These include: Difficulty in Predicting System Behavior: The emergent behavior of swarms can be unpredictable, making system design and control challenging.
    Where did swarm intelligence come from?Their inspiration usually comes from nature or biological systems. Swarm intelligence was introduced by Gerardo Beni and Jing Wang in 1989 with their study of cellular robotic systems. The scientific discipline was born from biological insights about the incredible abilities of social insects to solve their everyday-life problems.
    How is swarm intelligence research classified?Research in swarm intelligence can be classified according to different criteria. Natural vs. Artificial: It is customary to divide swarm intelligence research into two areas according to the nature of the systems under analysis.
     
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    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. SI systems consist … See more

    Boids (Reynolds 1987)
    Boids is an artificial life program, developed by Craig Reynolds in 1986, which simulates flocking. It was published in 1987 in the proceedings of the ACM SIGGRAPH conference. The … See more

    • Bonabeau, Eric; Dorigo, Marco; Theraulaz, Guy (1999). Swarm Intelligence: From Natural to Artificial Systems. Oup USA. ISBN 978-0-19-513159-8 See more

    1989
    Gerardo Beni and Jing Wang introduced the expression 'swarm intelligence' in the context of cellular robotic systems.
    1986
    Craig Reynolds developed Boids, an artificial life program that simulates flocking.
    1995
    Vicsek et al. introduced self-propelled particles (SPP), a special case of the boids model.
    1992
    Dorigo introduced ant colony optimization (ACO), a class of optimization algorithms modeled on the actions of an ant colony.
    1995
    Kennedy, Eberhart & Shi introduced particle swarm optimization (PSO), a global optimization algorithm for dealing with problems in which a best solution can be represented as a point or surface in an n-dimensional space.
    2015
    Artificial Swarm Intelligence (ASI) is method of amplifying the collective intelligence of networked human groups using control algorithms modeled after natural swarms.
    2018
    Stanford University School of Medicine published a study showing that groups of human doctors, when connected together by real-time swarming algorithms, could diagnose medical conditions with substantially higher accuracy than individual doctors or groups of doctors working together using traditional crowd-sourcing methods.
    2021
    The University of California San Francisco (UCSF) School of Medicine released a preprint about the diagnosis of MRI images by small groups of collaborating doctors. The study showed a 23% increase in diagnostic accuracy when using Artificial Swarm Intelligence (ASI) technology compared to majority voting.

    Swarm Intelligence-based techniques can be used in a number of applications. The U.S. military is investigating swarm techniques for controlling unmanned vehicles. The See more

    • Marco Dorigo and Mauro Birattari (2007). "Swarm intelligence" in Scholarpedia
    • Antoinette Brown. Swarm Intelligence See more

     
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  5. WEBFeb 1, 2012 · Swarm Intelligence (SI) is a relatively new and potentially promising branch of Artificial Intelligence that is used to model the …

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