Complex Behavior

Complex behavior, encompassing diverse actions from strategic decision-making in humans and animals to the adaptive movements of robots and swarms, is a central focus of current research. Scientists are employing various machine learning models, including deep neural networks, graph neural networks, and physics-informed neural networks, alongside reinforcement learning algorithms, to understand, predict, and even generate complex behaviors. These efforts leverage large datasets of behavioral and neural data, often incorporating multi-modal information and multi-scale analysis, to uncover underlying mechanisms and improve the design of autonomous systems. The insights gained have implications for diverse fields, including robotics, behavioral science, and clinical applications like the diagnosis and treatment of mood disorders.