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    Swarm intelligence - Wikipedia

    Developed by Louis Rosenberg in 2015, human swarming, also called artificial swarm intelligence, allows the collective intelligence of interconnected groups of people online to be harnessed. The collective intelligence of the group often exceeds the abilities of any one member of the group. See more

    Swarm intelligence (SI) is the collective behavior of decentralized, self-organized systems, natural or artificial. The concept is employed in work on artificial intelligence. … See more

    Boids (Reynolds 1987)
    Boids is an artificial life program, developed by Craig Reynolds in 1986, which simulates See more

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

    • Bonabeau, Eric; Dorigo, Marco; Theraulaz, Guy (1999). Swarm Intelligence: From Natural to Artificial Systems. Oup USA. ISBN 978-0-19-513159-8.
    • Kennedy, James; Eberhart, Russell C. (2001-04-09). Swarm … 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.
     
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