Decoding Collective Behavior: How Active Bayesian Inference Powers the Natural Movements of Animal Groups

The phenomenon of collected motion in animals observed in activities like swarming locusts, schooling fish, flocking birds, and herding ungulates is extensively studied due to its visually striking property and its emergence from simple interactions among group members. Recent research focuses on more biologically motivated, agent-based approaches that aim to model specific behavioral circuits and […]

The post Decoding Collective Behavior: How Active Bayesian Inference Powers the Natural Movements of Animal Groups appeared first on MarkTechPost.

ai shorts animals applications artificial intelligence bayesian bayesian inference behavior birds collective computer vision decoding editors pick emergence fish herding inference interactions machine learning movements natural property research simple staff swarming tech news technology