Structural Learning (Volume 2)

Issues and Approaches

Joseph M. Scandura

• Publisher: Taylor & Francis
• Year: 2017
• Print ISBN: 9780415789172
• eBook ISBN: 9781351839402
• Edition: 1
• Topic: Psychology
• Subtopic: Cognitive Psychology & Cognition
• Index: Psychology

Originally published in 1976, this title is an edited volume and reflects the major approaches being taken in structural learning at the time. Chapter 1 deals with the basic question of whether competence (knowledge) should be characterized in terms of rules (automata), on the one hand, or associations on the other. The bulk of Chapter 2 is devoted to a series of earlier experiments on rule learning by the editor and his associates. The two contributions in Chapter 3 deal with graph theoretical models. Piagetian models constitute the subject of Chapter 4. Chapter 5 deals with attempts to stimulate human behaviour with a computer. Chapter 6 ranges over a wide variety of competence models, with particular reference to logic and mathematics. In Chapter 7 the editor proposes a new theory of structural learning, together with some empirical results.

Table of contents

• Cover
• Half Title
• Title Page
• Copyright Page
• STRUCTURAL LEARNING SERIES
• PREFACE
• Table of Contents
• Chapter 1. BASIC UNIT IN STRUCTURAL LEARNING: ASSOCIATION OR AUTOMATON (RULE)?
• Chapter 2. NEW DIRECTIONS FOR RESEARCH ON RULE LEARNING
• Chapter 3. GRAPH THEORETIC MODELS
• Chapter 4. PIAGETIAN MODELS
• Chapter 5. SIMULATION MODELS
• Chapter 6. COMPETENCE MODELS IN MATHEMATICS
• Chapter 7. A THEORY OF STRUCTURAL LEARNING
• BIBLIOGRAPHY
• AUTHOR INDEX
• SUBJECT INDEX