The Predictive Mind

This work, The Predictive Mind: Artificial Intelligence, Neuroscience, and the Future of Human Emotion, explores the emerging convergence between predictive neuroscience, computational psychiatry, and artificial intelligence in the interpretation and forecasting of human psychological states. It proposes that both biological and artificial systems operate through forms of prediction, where perception, emotion, and behavior emerge from continuous inference rather than passive reception of reality.

Across its chapters, the book develops a conceptual framework in which mental health is understood not as static pathology but as dynamic predictive regulation shaped by trauma, attachment history, environmental feedback, and neural learning systems. Emotional disorders such as anxiety, depression, dissociation, and personality instability are interpreted as disruptions or rigidities within predictive models of safety, threat, reward, and social connection.

The work further examines how large language models, digital phenotyping, and machine-learning systems are increasingly capable of detecting behavioral and linguistic markers associated with psychological distress. This capability introduces the possibility of predictive psychiatry, where mental health conditions may be identified earlier and more continuously than in traditional clinical settings.