ABSTRACT
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
part 1|35 pages
Basic Unit in Structural Learning: Association or Automaton (Rule)?
part 2|34 pages
New Directions for Research on Rule Learning
part 3|34 pages
Graph Theoretic Models
part 4|24 pages
Piagetian Models
part 5|39 pages
Simulation Models
part 6|79 pages
Competence Models in Mathematics
part 7|68 pages
A Theory of Structural Learning