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 | , , , |
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Format | eBook Book |
Language | English |
Published |
Mahwah, N.J
Psychology Press
2002
Taylor and Francis Lawrence Erlbaum Associates Taylor & Francis Group |
Edition | 1 |
Subjects | |
Online Access | Get full text |
ISBN | 9780415650236 080583883X 9780805838831 0415650232 |
DOI | 10.4324/9781410603456 |
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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. |
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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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Copyright | 2002 by Lawrence Erlbaum Associates, Inc. |
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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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PageCount | 432 |
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PublicationDateYYYYMMDD | 2002-01-01 2013-05-13 2002-05-01 |
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PublicationDecade | 2000 2010 |
PublicationPlace | Mahwah, N.J |
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PublicationYear | 2002 2013 |
Publisher | Psychology Press 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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