Book contents
- The Cambridge Handbook of Computational Cognitive Sciences
- Cambridge Handbooks in Psychology
- The Cambridge Handbook of Computational Cognitive Sciences
- Copyright page
- Contents
- Preface
- Contributors
- Part I Introduction
- Part II Cognitive Modeling Paradigms
- Part III Computational Modeling of Basic Cognitive Functionalities
- Part IV Computational Modeling in Various Cognitive Fields
- 23 Computational Models of Developmental Psychology
- 24 Computational Models in Personality and Social Psychology
- 25 Computational Modeling in Industrial-Organizational Psychology
- 26 Computational Modeling in Psychiatry
- 27 Computational Psycholinguistics
- 28 Natural Language Understanding and Generation
- 29 Computational Models of Creativity
- 30 Computational Models of Emotion and Cognition-Emotion Interaction
- 31 Computational Approaches to Morality
- 32 Cognitive Modeling in Social Simulation
- 33 Cognitive Modeling for Cognitive Engineering
- 34 Modeling Vision
- 35 Models of Multi-Level Motor Control
- Part V General Discussion
- Index
- References
23 - Computational Models of Developmental Psychology
from Part IV - Computational Modeling in Various Cognitive Fields
Published online by Cambridge University Press: 21 April 2023
Edited by
Book contents
- The Cambridge Handbook of Computational Cognitive Sciences
- Cambridge Handbooks in Psychology
- The Cambridge Handbook of Computational Cognitive Sciences
- Copyright page
- Contents
- Preface
- Contributors
- Part I Introduction
- Part II Cognitive Modeling Paradigms
- Part III Computational Modeling of Basic Cognitive Functionalities
- Part IV Computational Modeling in Various Cognitive Fields
- 23 Computational Models of Developmental Psychology
- 24 Computational Models in Personality and Social Psychology
- 25 Computational Modeling in Industrial-Organizational Psychology
- 26 Computational Modeling in Psychiatry
- 27 Computational Psycholinguistics
- 28 Natural Language Understanding and Generation
- 29 Computational Models of Creativity
- 30 Computational Models of Emotion and Cognition-Emotion Interaction
- 31 Computational Approaches to Morality
- 32 Cognitive Modeling in Social Simulation
- 33 Cognitive Modeling for Cognitive Engineering
- 34 Modeling Vision
- 35 Models of Multi-Level Motor Control
- Part V General Discussion
- Index
- References
Summary
This chapter reviews contemporary computational models of psychological development in a historical context, including those based on symbolic rules, artificial neural networks, dynamic systems, robotics, and Bayesian ideas. Emphasis is placed on newer work and the insights that simulation can provide into developmental mechanisms. Within space limitations, coverage is both sufficiently broad to provide a general overview of the field and sufficiently detailed to facilitate understanding of important techniques. Prospects for integrating the dominant approaches of neural networks and Bayesian methods are explored. There is also speculation about how deep-learning networks might begin to impact developmental modeling by increasing the realism of training patterns, particularly in visual perception.
Keywords
- Type
- Chapter
- Information
- The Cambridge Handbook of Computational Cognitive Sciences , pp. 769 - 794Publisher: Cambridge University PressPrint publication year: 2023
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