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  2. Examples of swarm intelligence in natural systems include123:
    • Ant colonies
    • Bee colonies
    • Bird flocking
    • Hawks hunting
    • Animal herding
    • Bacterial growth
    • Fish schooling
    • Microbial intelligence
    • Flocks of birds
    • Colonies of ants
    • Schools of fish
    • Swarms of bees
    Learn more:
    Examples of swarm intelligence in natural systems include ant colonies, bee colonies, bird flocking, hawks hunting, animal herding, bacterial growth, fish schooling and microbial intelligence.
    en.wikipedia.org/wiki/Swarm_intelligence
    Examples of swarm intelligence in natural systems include flocks of birds that exhibit coordinated movement patterns, colonies of ants that efficiently forage for food, schools of fish that move together in synchrony, and swarms of bees that collectively decide on a new hive location.
    www.ai-event.ted.com/glossary/swarm-intelligence
    Examples of systems studied by swarm intelligence are colonies of ants and termites, schools of fish, flocks of birds, herds of land animals. Some human artifacts also fall into the domain of swarm intelligence, notably some multi-robot systems, and also certain computer programs that are written to tackle optimization and data analysis problems.
    www.scholarpedia.org/article/Swarm_intelligence
     
  3. People also ask
    What are examples of swarm intelligence?Examples of swarm intelligence in natural systems include ant colonies, bee colonies, bird flocking, hawks hunting, animal herding, bacterial growth, fish schooling and microbial intelligence . The application of swarm principles to robots is called swarm robotics while swarm intelligence refers to the more general set of algorithms.
    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 do we achieve swarm intelligence?To achieve swarm intelligence, we simply gives every system an agent to make independent decision, followed by building a specific communication protocols between every two points. The protocols can be expressed as: This equation denotes the strategies based on which every system changes its output.
    What are the development areas of swarm intelligence?Besides, there are two main development areas of swarm intelligence: Particle Swarm Optimization: One of the most well-known swarm intelligence-based optimization techniques. Particle swarm optimization was modeled by the social behavior of animals and insects. In this context, every individual swarm member is handled as a particle.
     
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    Swarm intelligence - Wikipedia

    Examples of swarm intelligence in natural systems include ant colonies, bee colonies, bird flocking, hawks hunting, animal herding, bacterial growth, fish schooling and microbial intelligence. The application of swarm principles to robots is called swarm robotics while swarm intelligence refers to the … 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. The expression was introduced by Gerardo Beni and … See more

    Boids (Reynolds 1987)
    Boids is an artificial life program, developed by Craig Reynolds in 1986, which simulates flocking. … 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

    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.

    • Bonabeau, Eric; Dorigo, Marco; Theraulaz, Guy (1999). Swarm Intelligence: From Natural to Artificial Systems. Oup USA. See more

     
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  5. What Is Swarm Intelligence? | Baeldung on Computer Science

  6. Swarm intelligence - Scholarpedia

  7. Swarm Intelligence - an overview | ScienceDirect Topics

  8. Swarm Intelligence - an overview | ScienceDirect Topics

  9. Swarm Intelligence | SpringerLink

  10. (PDF) Swarm Intelligence: Concepts, Models and …

    WebFeb 1, 2012 · Examples of swarm intelligence models are: Ant Colon y Optimization [29], Particle Swarm Optimization [9] , Artificial B ee Colony [11] , Bacterial Foraging [19], Cat Swarm Optimization [20 ...

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    WebApr 23, 2020 · Swarm intelligence is a form of artificial intelligence (AI) inspired by the insect kingdom. In nature, it describes how honeybees migrate, how ants form perfect trails, and how birds flock. In the world of …

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