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Computational Developmental Psychology (A Bradford Book) download ebook

by Thomas R. Shultz

Computational Developmental Psychology (A Bradford Book) download ebook
ISBN:
026219483X
ISBN13:
978-0262194839
Author:
Thomas R. Shultz
Publisher:
A Bradford Book (April 25, 2003)
Language:
Pages:
338 pages
ePUB:
1866 kb
Fb2:
1632 kb
Other formats:
rtf azw mobi mbr
Category:
Psychology & Counseling
Subcategory:
Rating:
4.5

In this book Thomas Shultz shows how computational modeling can be used to capture these complex phenomena, and in so doing he lays the foundation for a new subfield of developmental psychology, computational developmental psychology

In this book Thomas Shultz shows how computational modeling can be used to capture these complex phenomena, and in so doing he lays the foundation for a new subfield of developmental psychology, computational developmental psychology. A principal approach in developmental thinking is the constructivist one. Constructivism is the Piagetian view that the child builds new cognitive structures by using current mental structures to understand new events. In this book Shultz features constructivist models employing networks that grow as well as learn.

Computational Developmental Psychology book.

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Shultz, Thomas R. 2012. Computational developmental psychology. Cambridge, MA: MIT Press. Shultz, T. R. (2006). Constructive learning in the modeling of psychological development. A constructive neural-network approach to modeling psychological development. Cognitive Development, Vol. 27, Issue. In Y. Munakata & M. H. Johnson (Ed., Processes of change in brain and cognitive development: Attention and performance XXI. (pp. 61–86). Oxford, UK: Oxford University Press. & Bale, A. C. (2001). Neural network simulation of infant familiarization to artificial sentences: Rule-like behavior without explicit rules and variables.

Computational modeling implements developmental theory in a precise manner, allowing generation, explanation, integration, and prediction. Several modeling techniques are applied to development: symbolic rules, neural networks, dynamic systems, Bayesian processing of probability distributions, developmental robotics, and mathematical analysis. Abstract and Keywords. Computational modeling implements developmental theory in a precise manner, allowing generation, explanation, integration, and prediction.

and developmental psychology, The Psychology Book looks at all the greats from Pavlov and Skinner. and Psychopathology from a Developmental Perspective Abnormal Child Psychology from a Developmental. Developmental Psychology. The Mind of the Criminal: The Role of Developmental Social Cognition in Criminal Defense Law. 282 Pages·2012·1. 87 MB·1,942 Downloads.

Computational models of developmental psychology Thomas Shultz and Sylvain Sirois; 17. Computational models of psycholinguistics Nick Chater and Morten Christiansen; 18. Computational models in personality and social psychology Stephen Read and Brian Monroe; 19. Cognitive social simulation Ron Sun; 20. Models of scientific explanation Paul Thagard and Abninder Litt; 21. Cognitive modeling for cognitive engineering Wayne Gray; 22. Models of animal learning and their relations to human learning Francisco Lopez and David Shanks; 23.

Developmental psychology is the scientific study of how and why human beings change over the course of their life. Originally concerned with infants and children, the field has expanded to include adolescence, adult development, aging, and the entire lifespan. Developmental psychologists aim to explain how thinking, feeling, and behaviors change throughout life. This field examines change across three major dimensions: physical development, cognitive development, and socioemotional development.

Computational Developmental Psychology. SHULTZ, THOMAS R. Development of the Appreciation of Riddles. CHILD DEVELOPMENT, 1974, 45, 100-105. A study of the development of children's appreciation of riddles was conducted within the framework.

An overview of the emerging discipline of computational developmental psychology, emphasizing the use of constructivist neural networks.

Despite decades of scientific research, the core issues of child development remain too complex to be explained by traditional verbal theories. These issues include structure and transition, representation and processing, innate and experiential determinants of development, stages of development, the purpose and end of development, and the relation between knowledge and learning. In this book Thomas Shultz shows how computational modeling can be used to capture these complex phenomena, and in so doing he lays the foundation for a new subfield of developmental psychology, computational developmental psychology.

A principal approach in developmental thinking is the constructivist one. Constructivism is the Piagetian view that the child builds new cognitive structures by using current mental structures to understand new events. In this book Shultz features constructivist models employing networks that grow as well as learn. This allows models to implement synaptogenesis and neurogenesis in a way that allows qualitative changes in processing mechanisms. The book's appendices provide additional background on the mathematical concepts used, and a companion Web site contains easy-to-use computational packages.