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.

Autorentext
Professor Jeffrey J. Lockman got his Ph.D at the University of Minnesota. His research interests center on perception-action and cognitive development. In his recent work, he has been studying the development of tool use in children and how it might be related to the object manipulation skills of infants. Additionally, he has been conducting work on spatial cognition in children, focusing on how children code the location of objects and object features.

Inhalt

1. Geminate consonants and emergent systematicity: A network analysis
2. Development as the Structuring of Sensorimotor Information
3. Computational modeling of early language learning from acoustic speech and audiovisual input without linguistic priors
4. Model-Based Approaches to Social Cognitive Development