Computational and Modeling Approaches to Development, Volume 70 in the Advances in Child Development and Behavior series, continues the tradition of this longstanding resource as an essential reference for researchers, scholars, and students in developmental psychology and related disciplines. It presents timely updates and fresh perspectives on a broad range of developmental processes, integrating insights from cognitive, social, emotional, and biological domains. Each chapter enhances understanding of the mechanisms underlying children’s growth and adaptation, making this release an indispensable resource for those seeking to remain informed about emerging directions and methodologies in the field.
Chapters feature contributions from an international panel of authors, offering comprehensive reviews and theoretical advances that reflect the current state of knowledge in child development and behavior.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Series Page - p. iii 6. Copyright - p. iv 7. Contributors - p. ix 8. Preface - p. xi 9. Chapter One: The development of problem solving: Integrating perception, cognition, and action in real time - p. 1 10. Chapter Two: Computational modeling in developmental science - p. 29 11. Chapter Three: Embodied predictive processing: A unifying generative principle for cognitive development - p. 57 12. Chapter Four: Early behavioral development as the structuring of sensorimotor information - p. 85 13. Chapter Five: Efficient coding in active perception: A developmental perspective on autonomous control - p. 117 14. Chapter Six: Computational modeling of early language learning from acoustic speech and audiovisual input without linguistic priors - p. 157 15. Chapter Seven: Geminate consonants and emergent systematicity: A network analysis - p. 199 16. Chapter Eight: Data efficient language learning through random projections: Bootstrapping Poverty of the Stimulus - p. 237 17. Chapter Nine: Curiosity and metacognition: Towards a unified framework for learning and education in the age of AI - p. 273
Computational and Modeling Approaches to Development, Volume 70 in the Advances in Child Development and Behavior series, continues the tradition of this longstanding resource as an essential reference for researchers, scholars, and students in developmental psychology and related disciplines. It presents timely updates and fresh perspectives on a broad range of developmental processes, integrating insights from cognitive, social, emotional, and biological domains. Each chapter enhances understanding of the mechanisms underlying children’s growth and adaptation, making this release an indispensable resource for those seeking to remain informed about emerging directions and methodologies in the field.
Chapters feature contributions from an international panel of authors, offering comprehensive reviews and theoretical advances that reflect the current state of knowledge in child development and behavior.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Series Page - p. iii 6. Copyright - p. iv 7. Contributors - p. ix 8. Preface - p. xi 9. Chapter One: The development of problem solving: Integrating perception, cognition, and action in real time - p. 1 10. Chapter Two: Computational modeling in developmental science - p. 29 11. Chapter Three: Embodied predictive processing: A unifying generative principle for cognitive development - p. 57 12. Chapter Four: Early behavioral development as the structuring of sensorimotor information - p. 85 13. Chapter Five: Efficient coding in active perception: A developmental perspective on autonomous control - p. 117 14. Chapter Six: Computational modeling of early language learning from acoustic speech and audiovisual input without linguistic priors - p. 157 15. Chapter Seven: Geminate consonants and emergent systematicity: A network analysis - p. 199 16. Chapter Eight: Data efficient language learning through random projections: Bootstrapping Poverty of the Stimulus - p. 237 17. Chapter Nine: Curiosity and metacognition: Towards a unified framework for learning and education in the age of AI - p. 273
