Decisions rarely occur in isolation. In social settings, behavior emerges from dynamic interactions between individuals, their environment, and one another. Although collective behavior has been well described at the ethological level, its neural and computational underpinnings remain poorly understood.

Advances in computational neuroethology now make it possible to model neural and behavioral dynamics across multiple interacting animals. This workshop convenes researchers developing novel behavioral paradigms and multi-agent computational models to uncover how brains encode social information, support coordination and competition, and give rise to collective decision making.

Our goal is to identify conceptual and technical challenges, and to outline a roadmap for advancing the neuroscience of multi-agent behavior.