Based on the well-known Fitts Lectures, this volume presents a core set of concepts and principles that propose a unified interpretation of memory categorization, and decision making.
1: Introduction and Basic Concepts 1.1: Classification and Cognition: An Overview 1.2: The Array Model Framework 2: Category Structures and Categorization 2.1: Similarity in Theories of Classification 2.2: Predicting Categorization Performance 3: Models for Category Learning 3.1: The Exemplar-Similarity Model 3.2: Network-based Learning Models 4: Categorization and Memory Processing 5: On the Storage and Retrieval of Categorical Information 6: Extensions and Applications of the Exemplar-Similarity Model 7: Categorization and Recognition 8: Categorization and Cognition: Reprise
