Characterizing SpatioTemporal Patterns of Swarms Characterizing spatio-temporal patterns of swarms Swarming models have increased in popularity in recent years due their ability to generate complex patterns and mimic collective behaviors observed in nature (e.g. flocking, herding). But despite their variety, swarming models are dicult to distinguish, dierent models having similar output and thus it is challenging to determine their relevance with experimental observations. We believe that developing a systematic fluid characterization' of swarms will help fill this gap. Fluid equations provide statistical tools that can fully characterize emergent behavior (e.g. propagation of information, coherence structures). But can a swarm be considered as a fluid? Novel characterizations for swarming have to be investigated to highlight similarities and differences.
|Effective start/end date||9/15/15 → 8/31/19|
- National Science Foundation (NSF): $307,901.00
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