The Philosophy and Science of Predictive Processing
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- Nombre de pages230
- PrésentationRelié
- FormatGrand Format
- Poids0.531 kg
- Dimensions15,6 cm × 23,4 cm × 1,6 cm
- ISBN978-1-350-09975-3
- EAN9781350099753
- Date de parution10/12/2020
- ÉditeurBloomsbury
- PréfacierAnil Seth
Résumé
Predictive processing argues that our brains are constantly generating and updating hypotheses about our external conditions. In a balanced and extensive overview of the subject, this collection sheds new light on the nature of the mind. It shows how it is similar to and expands other theoretical approaches that emphasize the active role of the mind and its dynamic function. Providing a complete guide to the philosophical and empirical implications of predictive processing, contributors offer perspectives from philosophy, neuroscience, and psychology.
Together, they explore the many philosophical applications of predictive processing and its exciting potential across mental health, cognitive science, neuroscience, and robotics.
Together, they explore the many philosophical applications of predictive processing and its exciting potential across mental health, cognitive science, neuroscience, and robotics.
Predictive processing argues that our brains are constantly generating and updating hypotheses about our external conditions. In a balanced and extensive overview of the subject, this collection sheds new light on the nature of the mind. It shows how it is similar to and expands other theoretical approaches that emphasize the active role of the mind and its dynamic function. Providing a complete guide to the philosophical and empirical implications of predictive processing, contributors offer perspectives from philosophy, neuroscience, and psychology.
Together, they explore the many philosophical applications of predictive processing and its exciting potential across mental health, cognitive science, neuroscience, and robotics.
Together, they explore the many philosophical applications of predictive processing and its exciting potential across mental health, cognitive science, neuroscience, and robotics.