Social Cognition explains how robots can learn to read and participate in human social life. Drawing on psychology and neuroscience, it follows the infant pathway from self and other recognition to joint attention, intention reading, and early altruism, then shows how these abilities can be built in machines. The book connects brain findings on gaze, gesture, and mirror systems to computational models using neural networks, probabilistic inference, reinforcement learning, and a unifying predictive coding view. Case studies demonstrate robots that follow eyes, share goals, infer what a person wants, and help, with insights relevant to learning difficulties such as autism spectrum disorder. Clear and concise, Social Cognition bridges lab discoveries and practical human robot interaction, offering a roadmap for building agents that understand people and learn from them in real time. This book is the book 18 of the series 'Cognitive Robotics' .
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