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- W2079662680 abstract "It has long been recognised that nature provides many stunning and intriguing examples of group behaviour. Different species of bird swarm in varieties of numbers and in varieties of formations; ants collective hunt food in huge numbers; schools of fish adopt close knit and ever-changing formations as they bewilder predators and bewitch prey. The activities of so-called swarms of organisms in many cases lead to beneficial effects for the organisms in question, and this has led to the concept of swarm intelligence, which encapsulates the idea that the behaviour of a swarm can exhibit useful, functional and intelligent outcomes which seem well beyond the capabilities, as far as we understand, of any individual in the swarm. A common way to define swarm intelligence is as the emergent and collective intelligence of groups of simple and autonomous agents. Implicit in such a definition is the fact that there is assumed to be no central controller—no ‘master’ agent that directs and conducts the activities of its fellows. Each agent is a peer, acting independently, interacting with its brethren, and other features of its environment, according to relatively simple rules. That such a system, with no central controller, can exhibit purposeful and robust behaviour is one of the appealing factors for scientists and engineers, suggesting strategies for building systems that are robust to failures. E.g. when systems rely on a centralised controller, damage to the controller will clearly be disastrous. Swarm intelligence is of great interest to scientists and engineers for two other main reasons. First, scientists need to understand swarms—to understand how the interactions within swarms help social animals achieve their various goals, to understand how swarm behaviour evolved, and so on. Secondly, and of most import to us here, is the fact that the study of natural swarm intelligence leads directly to novel algorithms that have a wide variety of applications. In" @default.
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- W2079662680 date "2010-01-05" @default.
- W2079662680 modified "2023-09-25" @default.
- W2079662680 title "Swarm intelligence: the state of the art special issue of natural computing" @default.
- W2079662680 doi "https://doi.org/10.1007/s11047-009-9172-6" @default.
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