Emerging Interactions in Humans and Machines: From Social Physiology to Social Neuro-AI

Explore the intersection of social cognition, neuroscience, and artificial intelligence in this thought-provoking lecture. Delve into the contrasting perspectives of social psychology and developmental psychology on social cognition, examining the "chicken-egg paradox" of its origin in humans. Discover how different conceptual and mathematical formalisms, such as Bayesian statistics and dynamical systems, are applied to model social computations and sensorimotor coupling. Learn about the concept of "social physiology" as a multi-scale complex system integrating biological and social processes. Investigate the use of multi-brain neuroscience and inter-brain connectivity as quantitative markers for bridging intra-personal mechanisms and inter-personal dynamics. Finally, explore how insights from interactive social neuroscience can inspire architectures for virtual avatars and machine learning algorithms in neuro-inspired artificial intelligence.

Emerging interactions in humans and machines: from Social Physiology to Social Neuro-AI