Modelling High-Level Cognitive Processes

This book is a practical guide to building computational models of high-level cognitive processes and systems. High-level processes are those central cognitive processes involved in thinking, reasoning, planning, and so on. These processes appear to share representational and processing requirements...

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Main Authors Cooper, Richard P., Yule, Peter, Fox, John, Glasspool, David W.
Format eBook Book
LanguageEnglish
Published Mahwah, N.J Psychology Press 2002
Taylor and Francis
Lawrence Erlbaum Associates
Taylor & Francis Group
Edition1
Subjects
Online AccessGet full text
ISBN9780415650236
080583883X
9780805838831
0415650232
DOI10.4324/9781410603456

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Abstract This book is a practical guide to building computational models of high-level cognitive processes and systems. High-level processes are those central cognitive processes involved in thinking, reasoning, planning, and so on. These processes appear to share representational and processing requirements, and it is for this reason that they are considered together in this text. The book is divided into three parts. Part I considers foundational and background issues. Part II provides a series of case studies spanning a range of cognitive domains. Part III reflects upon issues raised by the case studies. Teachers of cognitive modeling may use material from Part I to structure lectures and practical sessions, with chapters in Part II forming the basis of in-depth student projects. All models discussed in this book are developed within the COGENT environments. COGENT provides a graphical interface in which models may be sketched as "box and arrow" diagrams and is both a useful teaching tool and a productive research tool. As such, this book is designed to be of use to both students of cognitive modeling and active researchers. For students, the book provides essential background material plus an extensive set of example models, exercises and project material. Researchers of both symbolic and connectionist persuasions will find the book of interest for its approach to cognitive modeling, which emphasizes methodological issues. They will also find that the COGENT environment itself has much to offer.
AbstractList This book is a practical guide to building computational models of high-level cognitive processes and systems. High-level processes are those central cognitive processes involved in thinking, reasoning, planning, and so on. These processes appear to share representational and processing requirements, and it is for this reason that they are considered together in this text. The book is divided into three parts. Part I considers foundational and background issues. Part II provides a series of case studies spanning a range of cognitive domains. Part III reflects upon issues raised by the case studies. Teachers of cognitive modeling may use material from Part I to structure lectures and practical sessions, with chapters in Part II forming the basis of in-depth student projects. All models discussed in this book are developed within the COGENT environments. COGENT provides a graphical interface in which models may be sketched as "box and arrow" diagrams and is both a useful teaching tool and a productive research tool. As such, this book is designed to be of use to both students of cognitive modeling and active researchers. For students, the book provides essential background material plus an extensive set of example models, exercises and project material. Researchers of both symbolic and connectionist persuasions will find the book of interest for its approach to cognitive modeling, which emphasizes methodological issues. They will also find that the COGENT environment itself has much to offer.
This book is a practical guide to building computational models of high-level cognitive processes and systems. High-level processes are those central cognitive processes involved in thinking, reasoning, planning, and so on. These processes appear to share representational and processing requirements, and it is for this reason that they are considered together in this text. The book is divided into three parts. Part I considers foundational and background issues. Part II provides a series of case studies spanning a range of cognitive domains. Part III reflects upon issues raised by the case studies. Teachers of cognitive modeling may use material from Part I to structure lectures and practical sessions, with chapters in Part II forming the basis of in-depth student projects. All models discussed in this book are developed within the COGENT environments. COGENT provides a graphical interface in which models may be sketched as "box and arrow" diagrams and is both a useful teaching tool and a productive research tool. As such, this book is designed to be of use to both students of cognitive modeling and active researchers. For students, the book provides essential background material plus an extensive set of example models, exercises and project material. Researchers of both symbolic and connectionist persuasions will find the book of interest for its approach to cognitive modeling, which emphasizes methodological issues. They will also find that the COGENT environment itself has much to offer. Contents: Preface. Part I: Background. Modelling Cognition. An Introduction to COGENT. Part II: Modelling in Specific Domains. Overview. Arthimetic: A Cognitive Skill. Problem Solving. Deductive Reasoning. Decision Making. Sentence Processing. Executive Processes. Part III: Reflections. Reflections.
This book is about understanding human cognition-the mental processes invlved in thought, reasoning and language. The basic premise from which the book proceeds is that computer models of cognitive processes can further the understandg of mental processe.
Author Glasspool, David W.
Fox, John
Cooper, Richard P.
Yule, Peter
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Keywords Premise Pairs
Match Memory
memory
arrow
Modelling High Level Cognitive Processes
subtraction
Production System Models
Cannibals Problem
Contention Scheduling System
multicolumn
rules
Mental Models Theory
Model Revision
Cue Selection
Production Rules
Euler Circles
working
Knowledge Lean Problems
Goal Stack
Arrow Diagram
sentence
Working Memory
Multicolumn Subtraction
Conflict Resolution Rule
display
Knowledge Rich Problems
Basic Arithmetic Fact
diagram
Phrase Structure Rules
Multicolumn Addition
Lakatosian Research Programme
processing
Display Rules
End Term
Problem Buffer
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Notes Includes bibliographical references and indexes
OCLC 852756272
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Taylor and Francis
Lawrence Erlbaum Associates
Taylor & Francis Group
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Snippet This book is a practical guide to building computational models of high-level cognitive processes and systems. High-level processes are those central cognitive...
This book is about understanding human cognition-the mental processes invlved in thought, reasoning and language. The basic premise from which the book...
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SubjectTerms Cognition
Cognition -- Computer simulation
Cognition -- Mathematical models
Cognitive Neuropsychology
Cognitive Science
Computer simulation
Connectionism
Mathematical models
Neural Nets
TableOfContents Front Cover -- Modelling High-Level Cognitive Processes -- Copyright Page -- Contents -- Preface -- I: Background -- 1. Modelling Cognition -- 1.1 What is Cognitive Modelling? -- 1.2 A Sample Model -- 1.3 What Makes a Good Model? -- 1.4 The Rise of Cognitive Modelling -- 1.5 Modelling and Simulation -- 1.6 The Role of Cognitive Modelling -- 1.7 Further Benefits of Cognitive Modelling -- 1.8 Some Objections to Cognitive Modelling -- 1.9 Approaches to Cognitive Modelling -- 1.10 Strategies for the Use of Simulation -- 1.11 Closing Remarks -- 1.12 Further Reading -- 2. An Introduction to COGENT -- 2.1 COGENT: Principal Features -- 2.2 An Illustrative Task: Free Recall -- 2.3 Getting Started -- 2.4 Specifying Basic Experimenter Functions -- 2.5 The Modal Model in COGENT -- 2.6 Representation and Variable Binding -- 2.7 Augmenting the Experiment Environment -- 2.8 Extending the Modal Model -- 2.9 Further Reading -- II: Modelling in Specific Domains -- Overview -- 3. Arithmetic: A Cognitive Skill -- 3.1 Cognitive Skills -- 3.2 Multicolumn Addition -- 3.3 Multicolumn Subtraction -- 3.4 General Discussion -- 3.5 Further Reading -- 3.6 Appendix: Rules for Execute Action -- 4. Problem Solving -- 4.1 The Psychology of Problem Solving -- 4.2 The Missionaries and Cannibals Problem -- 4.3 The tower of Hanoi -- 4.4 Toward a General Problem Solver -- 4.5 Further Reading -- 5. Deductive Reasoning -- 5.1 Introduction -- 5.2 Basic Effects in Human Deductive Reasoning -- 5.3 Syllogistic Reasoning with Mental Models -- 5.4 Building a Mental Model -- 5.5 Revising a Mental Model -- 5.6 Project: Reasoning as Problem Solving -- 5.7 Syllogistic Reasoning with Euler Circles -- 5.8 General Discussion -- 5.9 Further Reading -- 6. Decision Making -- 6.1 The Psychology of Decision Making -- 6.2 Medical Diagnosis -- 6.3 Incorporating Cue Selection
6.4 Medical Diagnosis by Hypothesis Testing -- 6.5 Taking Stock -- 6.6 Further Reading -- 7. Sentence Processing -- 7.1 Background -- 7.2 A First Model -- 7.3 Towards Incremental Interpretation -- 7.4 Serial Parsing -- 7.5 Alternative Approaches to Sentence Processing -- 7.6 Further Reading -- 8. Executive Processes -- 8.1 The Domain of Executive Processes -- 8.2 Basic Psychological Findings -- 8.3 A Framework -- 8.4 Modelling the Supervisory Attentional System -- 8.5 Monitoring and the Six Element Test -- 8.6 Alternative Views of Executive Processes -- 8.7 Summary -- 8.8 Further Reading -- III: Reflections -- 9. Reflections -- 9.1 An Assessment of Progress -- 9.2 Emergent issues -- 9.3 Methodologies for Modelling -- 9.4 Issues for COGENT -- 9.5 An Agenda -- 9.6 Closing Remarks -- Bibliography -- Name Index -- Subject Index
Title Modelling High-Level Cognitive Processes
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