Contents
Chapter 1: What Is Information Processing?
1.4 Demonstrating the Formalist’s Motto
1.6 Why Is the Turing Machine Important?
1.8 Explaining How Computers Process Information
1.10 Explaining Human Cognition
Chapter 2: Inferring Cognitive Processes
2.2 Partial Report and Iconic Memory
2.3 Primary Memory and Acoustic Confusions
2.4 Delaying Recall from Primary Memory
2.5 Primary Memory and Recoding
2.6 Example: Recoding Digits into Chunks
2.7 Functional Dissociations of Serial Position Curves
2.8 Rehearsal and the Primacy Effect
2.9 Sentence Verification and Secondary Memory
2.10 Associations, Verbal Learning, and Secondary Memory
2.11 Imagery and Secondary Memory
2.12 Inferring Structure, Process, and Control
2.13 How to Remember π to 100 Digits
Chapter 3: Using Functional Analysis to Explain Cognition
3.1 Competing Notions of Explanation
3.2 Functionalism, Hierarchies, and Functional Decomposition
3.5 The Architecture of Cognition
3.6 Functional Analysis of Colour Perception
3.8 Seeking Strong Equivalence
3.9 Relative Complexity Evidence
3.11 Intermediate State Evidence
3.12 The Cognitive Impenetrability Criterion
3.13 Cognitive Psychology in Principle and in Practice
Chapter 4: Cognitive Architectures
4.1 The Variety of Cognitive Psychology
4.2 Serial and Parallel Processing
4.3 Data-Driven and Theory-Driven Processing
4.4 Automatic and Controlled Processing
4.6 Structure, Process, and Control
4.8 Isotropic and Modular Processing
Chapter 5: Questioning Foundations
5.1 Questioning Foundational Assumptions
5.2 Do We Need the Computer Metaphor?
5.3 Does Cognition Require Rules?
5.4 Can Connectionist Networks Provide Cognitive Theories?
5.8 What Is the “Cognitive” in Cognitive Neuroscience?
5.10 Which Topics Are Important to Cognitive Psychology?