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- W4381623767 abstract "9.1 IntroductionTo develop distributed methods for control and coordination of autonomous multiagent systems, many researchers have looked to autonomous swarm systems appearing in nature for inspiration [194, 197, 226, 245, 258, 304]. In particular, biology has shown that many species, such as insect swarms, ungulate flocks, fish schools, ant colonies, and bacterial colonies, self-organize in nature [21, 57, 233, 243]. These biological aggregations give rise to remarkably complex global behaviors from simple local interactions between large numbers of relatively unintelligent agents without the need for centralized control. The spontaneous development (i.e., self-organization) of these autonomous biological systems and their spatiotemporal evolution to more complex states often appear without any external system interaction. In other words, structure morphing into coherent groups is internal to the system and results from local interactions among subsystem components that are independent of the physical nature of the individual components." @default.
- W4381623767 created "2023-06-23" @default.
- W4381623767 date "2023-01-01" @default.
- W4381623767 modified "2023-09-25" @default.
- W4381623767 title "<i>Chapter Nine</i> : Eulerian Swarming Networks and Continuum Thermodynamics" @default.
- W4381623767 doi "https://doi.org/10.1137/1.9781611977547.ch9" @default.
- W4381623767 hasPublicationYear "2023" @default.
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