Book contents
- The Cambridge Handbook of Computational Psychology
- The Cambridge Handbook of Computational Psychology
- Copyright page
- Contents
- Preface
- List of Contributors
- Part I Introduction
- Part II Cognitive Modeling Paradigms
- Part III Computational Modeling of Various Cognitive Functionalities and Domains
- 7 Computational Models of Episodic Memory
- 8 Computational Models of Semantic Memory
- 9 Models of Categorization
- 10 Micro-Process Models of Decision Making
- 11 Models of Inductive Reasoning
- 12 Mental Logic, Mental Models, and Simulations of Human Deductive Reasoning
- 13 Computational Models of Skill Acquisition
- 14 Computational Models of Implicit Learning
- 15 Computational Models of Attention and Cognitive Control
- 16 Computational Models of Developmental Psychology
- 17 Computational Models of Psycholinguistics
- 18 Computational Models in Personality and Social Psychology
- 19 Cognitive Social Simulation
- 20 Models of Scientific Explanation
- 21 Cognitive Modeling for Cognitive Engineering
- 22 Models of Animal Learning and Their Relations to Human Learning
- 23 Computational Modeling of Visual Information Processing
- 24 Models of Motor Control
- Part IV Concluding Remarks
- Author Index
- Subject Index
17 - Computational Models of Psycholinguistics
from Part III - Computational Modeling of Various Cognitive Functionalities and Domains
Published online by Cambridge University Press: 05 June 2012
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Book contents
- The Cambridge Handbook of Computational Psychology
- The Cambridge Handbook of Computational Psychology
- Copyright page
- Contents
- Preface
- List of Contributors
- Part I Introduction
- Part II Cognitive Modeling Paradigms
- Part III Computational Modeling of Various Cognitive Functionalities and Domains
- 7 Computational Models of Episodic Memory
- 8 Computational Models of Semantic Memory
- 9 Models of Categorization
- 10 Micro-Process Models of Decision Making
- 11 Models of Inductive Reasoning
- 12 Mental Logic, Mental Models, and Simulations of Human Deductive Reasoning
- 13 Computational Models of Skill Acquisition
- 14 Computational Models of Implicit Learning
- 15 Computational Models of Attention and Cognitive Control
- 16 Computational Models of Developmental Psychology
- 17 Computational Models of Psycholinguistics
- 18 Computational Models in Personality and Social Psychology
- 19 Cognitive Social Simulation
- 20 Models of Scientific Explanation
- 21 Cognitive Modeling for Cognitive Engineering
- 22 Models of Animal Learning and Their Relations to Human Learning
- 23 Computational Modeling of Visual Information Processing
- 24 Models of Motor Control
- Part IV Concluding Remarks
- Author Index
- Subject Index
Summary
This chapter outlines the historical origins and the state of art of computational models of psycholinguistic processes. It considers interrelationships between the different theoretical traditions in reaction to the Chomskyan revolution. The chapter focuses attention on topics that have the widest general theoretical implications, both for fields of computational cognitive modeling and for the project of cognitive science more broadly. The chapter outlines and contrasts symbolic, connectionist, and probabilistic approaches to the computational modeling of psycholinguistic phenomena. The chapter considers word segmentation and recognition, and single word reading. The chapter focuses primarily on parsing, relating connectionist and probabilistic models to the symbolic models of grammar and processing associated with Chomsky's program. The chapter reviews formal and computational models of language learning and re-evaluates, in the light of current computational work, Chomsky's early theoretical arguments for a strong nativist view of the computational mechanisms involved.
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- The Cambridge Handbook of Computational Psychology , pp. 477 - 504Publisher: Cambridge University PressPrint publication year: 2008