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• W2790162045 abstract "The term “swarming” describes the ability of groups of “agents” to move coherently in space and time. This behavior is ubiquitous among living systems across many scales ranging from subcellular systems, bacteria, normal and malignant cells, to insects, fish, birds, and mammals. Examples include cytoskeletal patterns, bacterial swarms, bird flocks, and fish schools. Other well-known examples at the cellular level are streaming patterns of the cellular slime mold Dictyostelium discoideum and cluster formation of myxobacteria (cp. Fig. 8.1). The development of aggregation centers in cultures of fibroblasts (cells in connective tissue of mammals) can also be interpreted as a swarming phenomenon (Fig. 8.2). The transition to swarming patterns provides an indication of social behavior in these cellular systems. At an atomic particle level, one is interested in the dynamics of charged particle groups, e.g., electron swarms (Kumar et al. 1980, Kumar 1984). Two simple properties are responsible for many of the emergent swarming behaviors and patterns: 1. the ability to move, and 2. the ability to sense and respond to neighboring agents, often in a noisy environment. Collective motion and swarming dynamics in systems as different as the interior of a cell and a flock of organisms suggest that there are unifying principles that underlie these behaviors. The LGCA introduced in this chapter presents a bottom-up view of swarming and may be characterized as an individual-based model defined by means of rules for motion and interaction of oriented agents (e.g., molecules, cells, or organisms). The automaton is focused on a neighborhood-dependent interaction dynamics based on the concept of an orientation field. Mean-field analysis allows to view swarm initiation as a phase transition and indicates the formation of “orientational order”" @default.
• W2790162045 created "2018-03-29" @default.
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• W2790162045 date "2017-01-01" @default.
• W2790162045 modified "2023-09-26" @default.
• W2790162045 title "Alignment and Cellular Swarming" @default.
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• W2790162045 doi "https://doi.org/10.1007/978-1-4899-7980-3_8" @default.
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