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
12 - Mental Logic, Mental Models, and Simulations of Human Deductive Reasoning
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
Individuals, who know no logic, are able to make deductive inferences. For many years, psychologists argued that deduction depends on an unconscious system of formal rules of inference akin to those in proof-theoretic logic. The first mental model theory is for simple inferences based on quantifiers, and programs have simulated various versions of this theory, and the probabilistic theory often makes unsatisfactory predictions. The theory of mental models posits that the engine of human reasoning relies on content. The simulation of model theory concerns sentential reasoning, and it shows how an apparently unexceptional assumption leads to a striking prediction of systematic fallacies in reasoning - a case that yields crucial predictions about the nature of human deductive reasoning. The chapter concludes with an attempt to weigh up the nature of human rationality in the light of other simulation programs.
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- The Cambridge Handbook of Computational Psychology , pp. 339 - 358Publisher: Cambridge University PressPrint publication year: 2008
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