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What Is Cognitive Psychology?: Acknowledgements

What Is Cognitive Psychology?
Acknowledgements
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Notes

table of contents
  1. Cover
  2. Acknowledgements
  3. Introduction
  4. Chapter 1: What Is Information Processing?
    1. 1.1 Formal Games
    2. 1.2 Form and Function
    3. 1.3 The Formalist’s Motto
    4. 1.4 Demonstrating the Formalist’s Motto
    5. 1.5 A Universal Machine
    6. 1.6 Why Is the Turing Machine Important?
    7. 1.7 The Modern Computer
    8. 1.8 Explaining How Computers Process Information
    9. 1.9 A Hierarchy of Levels
    10. 1.10 Explaining Human Cognition
    11. 1.11 Chapter Summary
  5. Chapter 2: Inferring Cognitive Processes
    1. 2.1 Using Symbols
    2. 2.2 Partial Report and Iconic Memory
    3. 2.3 Primary Memory and Acoustic Confusions
    4. 2.4 Delaying Recall from Primary Memory
    5. 2.5 Primary Memory and Recoding
    6. 2.6 Example: Recoding Digits into Chunks
    7. 2.7 Functional Dissociations of Serial Position Curves
    8. 2.8 Rehearsal and the Primacy Effect
    9. 2.9 Sentence Verification and Secondary Memory
    10. 2.10 Associations, Verbal Learning, and Secondary Memory
    11. 2.11 Imagery and Secondary Memory
    12. 2.12 Inferring Structure, Process, and Control
    13. 2.13 How to Remember π to 100 Digits
    14. 2.14 Chapter Summary
  6. Chapter 3: Using Functional Analysis to Explain Cognition
    1. 3.1 Competing Notions of Explanation
    2. 3.2 Functionalism, Hierarchies, and Functional Decomposition
    3. 3.3 Ryle’s Regress
    4. 3.4 Functional Analysis
    5. 3.5 The Architecture of Cognition
    6. 3.6 Functional Analysis of Colour Perception
    7. 3.7 The Cognitive Approach
    8. 3.8 Seeking Strong Equivalence
    9. 3.9 Relative Complexity Evidence
    10. 3.10 Error Evidence
    11. 3.11 Intermediate State Evidence
    12. 3.12 The Cognitive Impenetrability Criterion
    13. 3.13 Cognitive Psychology in Principle and in Practice
    14. 3.14 Chapter Summary
  7. Chapter 4: Cognitive Architectures
    1. 4.1 The Variety of Cognitive Psychology
    2. 4.2 Serial and Parallel Processing
    3. 4.3 Data-Driven and Theory-Driven Processing
    4. 4.4 Automatic and Controlled Processing
    5. 4.5 Structures and Processes
    6. 4.6 Structure, Process, and Control
    7. 4.7 Nativism and Empiricism
    8. 4.8 Isotropic and Modular Processing
    9. 4.9 An Example Architecture
    10. 4.10 Chapter Summary
  8. Chapter 5: Questioning Foundations
    1. 5.1 Questioning Foundational Assumptions
    2. 5.2 Do We Need the Computer Metaphor?
    3. 5.3 Does Cognition Require Rules?
    4. 5.4 Can Connectionist Networks Provide Cognitive Theories?
    5. 5.5 Do People Think?
    6. 5.6 Where Is the Mind?
    7. 5.7 Can Machines Think?
    8. 5.8 What Is the “Cognitive” in Cognitive Neuroscience?
    9. 5.9 Do Brains Think?
    10. 5.10 Which Topics Are Important to Cognitive Psychology?
    11. 5.11 What Is Cognitive Psychology?
  9. References

Acknowledgements

Many people offered support while I wrote the book. My colleagues Michael Carbonaro, Ben Dyson, Dana Hayward, and Peggy St. Jacques kept me on track. Many students in my laboratory offered feedback: Kezziah Ayuno, Nick Huber, Helen Ma, E. J. Meneses, George Nassar, Arturo Perez, and Stephanie Zawaduk. I would like to dedicate the book to Anna, Aubrey, and Wren.

I would never have written this book without Albert Katz’s influence. Albert’s many contributions to my career include introducing me to cognitivism when I was his student at the University of Western Ontario. This book reflects my journey from my first class with Albert to my current research in cognitive science.

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