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- W2293093346 abstract "Complexity science has shown that collective behaviors in animal groups, that is swarms, emerge from repeated local interactions between neighboring individuals. It has also revealed that a set of simple local interaction rules applied to very simple artificial agents gives rise to complex patterns possessing long-range and long-lasting dynamic order. These swarming systems, be them natural or artificial, are all characterized by somehow similar features: (i) lack of central controller or leader overseeing the collective dynamics, instead the latter emerges through self-organization, (ii) local perception of the environment leading to a certain level of global knowledge by means of effective distributed information sharing, and (iii) a high degree of adaptation to rapidly changing circumstances. These features afford swarms unique distributed problem solving capabilities—a.k.a. swarm intelligence—such that collectively they perform tasks far exceeding each individual agent’s ability." @default.
- W2293093346 created "2016-06-24" @default.
- W2293093346 creator A5030021140 @default.
- W2293093346 date "2015-10-17" @default.
- W2293093346 modified "2023-09-27" @default.
- W2293093346 title "Complexity and Swarming Systems" @default.
- W2293093346 doi "https://doi.org/10.1007/978-981-287-751-2_1" @default.
- W2293093346 hasPublicationYear "2015" @default.
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