cellular automaton with moving and resting "particles" is introduced as a model of swarming and aggregation. No external (indirect) sources of information (e.g., chemoattractants) are needed. Instead, "particles" are capable of (directly) evaluating orientations ss well as the rest particle density
Lattice gas cellular automation model for rippling and aggregation in myxobacteria
β Scribed by Mark S Alber; Yi Jiang; Maria A Kiskowski
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 336 KB
- Volume
- 191
- Category
- Article
- ISSN
- 0167-2789
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The cellular automaton model is used to simulate diffusion (with activation migration energy Era) and aggregation (with full capture and binding energy Eo) of point particles in 2D. A sharp dynamical phase transition is found that separates a dynamical phase (with many small aggregates and mobile pa
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