Results 211 to 220 of about 17,374 (255)
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Communications of the ACM, 2002
Following a trail of insects as they work together to accomplish a task offers unique possibilities for problem solving.
Peter Tarasewich, Patrick R. McMullen
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Following a trail of insects as they work together to accomplish a task offers unique possibilities for problem solving.
Peter Tarasewich, Patrick R. McMullen
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2019
Swarm Intelligence (SI) is a natural phenomenon that enables social species to quickly converge on optimized group decisions by interacting as real-time closed-loop systems. This process, which has been shown to amplify the collective intelligence of biological groups, has been studied extensively in schools of fish, flocks of birds, and swarms of bees.
Louis B. Rosenberg, Gregg Willcox
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Swarm Intelligence (SI) is a natural phenomenon that enables social species to quickly converge on optimized group decisions by interacting as real-time closed-loop systems. This process, which has been shown to amplify the collective intelligence of biological groups, has been studied extensively in schools of fish, flocks of birds, and swarms of bees.
Louis B. Rosenberg, Gregg Willcox
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Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion, 2011
Social animals as found in fish schools, bird flocks, bee hives, and ant colonies are able to solve highly complex problems in nature. This includes foraging for food, constructing astonishingly complex nests, and evading or defending against predators. Remarkably, these animals in many cases use very simple, decentralized communication mechanisms that
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Social animals as found in fish schools, bird flocks, bee hives, and ant colonies are able to solve highly complex problems in nature. This includes foraging for food, constructing astonishingly complex nests, and evading or defending against predators. Remarkably, these animals in many cases use very simple, decentralized communication mechanisms that
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Swarm intelligence and robotics
Industrial Robot: An International Journal, 2008PurposeThe aim of this paper is to provide a review of recent developments in the application of swarm intelligence to robotics.Design/methodology/approachThis paper initially considers swarm intelligence and then discusses its application to robotics through reference to a number of recent research programmes.FindingsBased on the principles of swarm ...
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An Intelligent Swarm of Markovian Agents
2015We define a Markovian agent model (MAM ) as an analytical model formed by a spatial collection of interacting Markovian agents (MA s), whose properties and behavior can be evaluated by numerical techniques. MAMs have been introduced with the aim of providing a flexible and scalable framework for distributed systems of interacting objects, where both ...
Bruneo, Dario +4 more
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The Journal of the American College of Dentists, 2011
The standard view of how things work is that an outside force impacts a group of individuals and causes outcomes they are interested in. The outside force may not affect all individuals to the same extent, but we can summarize the effect by taking the average.
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The standard view of how things work is that an outside force impacts a group of individuals and causes outcomes they are interested in. The outside force may not affect all individuals to the same extent, but we can summarize the effect by taking the average.
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From Swarm Intelligence to Swarm Robotics
2005The term “swarm” has been applied to many systems (in biology, engineering, computation, etc.) as they have some of the qualities that the English-language term “swarm” denotes. With the growth of the various area of “swarm” research, the “swarm” terminology has become somewhat confusing.
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Developmental Swarm Intelligence
International Journal of Swarm Intelligence Research, 2014In this paper, the necessity of having developmental learning embedded in a swarm intelligence algorithm is confirmed by briefly considering brain evolution, brain development, brainstorming process, etc. Several swarm intelligence algorithms are looked at from developmental learning perspective.
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Swarm Intelligence: The Benefits of Swarms
2009It is a well-known fact that an individual ant is not very bright and almost blind, but ants in a colony, operating as a team, do remarkable things like effective foraging, optimal brood sorting, or impressive cemetery formation. Many other biological species, such as insects, fish, birds, can present similar intelligent collective behavior although ...
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2015
Swarm Intelligence: Principles, Advances, and Applications delivers in-depth coverage of bat, artificial fish swarm, firefly, cuckoo search, flower pollination, artificial bee colony, wolf search, and gray wolf optimization algorithms. The book begins with a brief introduction to mathematical optimization, addressing basic concepts related to swarm ...
Aboul Ella Hassanien, Eid Emary
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Swarm Intelligence: Principles, Advances, and Applications delivers in-depth coverage of bat, artificial fish swarm, firefly, cuckoo search, flower pollination, artificial bee colony, wolf search, and gray wolf optimization algorithms. The book begins with a brief introduction to mathematical optimization, addressing basic concepts related to swarm ...
Aboul Ella Hassanien, Eid Emary
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