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
14 - Computational Models of Implicit Learning
from Part III - Computational Modeling of Various Cognitive Functionalities and Domains
Published online by Cambridge University Press: 05 June 2012
Edited by
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
Learning is implicit when an individual acquires new information without intending to do so. The distinction between implicit and explicit knowledge may hinge on whether a person is conscious of the regularity with a conscious rather than unconscious mental state. Computational modeling has played a central role in deconstructing early verbal theories of the nature of what is learned in implicit learning paradigms. On the theoretical and conceptual applications of implicit learning, this chapter addresses three central issues: whether performance in implicit learning situations result in abstract knowledge; whether the data and the modeling suggest the involvement of single or multiple systems; and whether modeling is relevant to addressing the conscious versus unconscious nature of the acquired knowledge. Implicit learning has proven to be a rich domain for exploration of the differences between information processing with and without consciousness.
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- The Cambridge Handbook of Computational Psychology , pp. 396 - 421Publisher: Cambridge University PressPrint publication year: 2008
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- Cited by