Structural Learning (Volume 2): Issues and Approaches

ISBN-13: 9780415789172 / Angielski / Twarda / 2017 / 354 str.

Opis

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.

Spis treści

Preface.  1. Basic Unit in Structural Learning: Association or Automaton (Rule)?  2. New Directions for Research on Rule Learning  3. Graph Theoretic Models  4. Piagetian Models 5. Simulation Models  6. Competence Models in Mathematics  7. A Theory of Structural Learning.  Bibliography.  Author Index.  Subject Index.

O autorze

Joseph M. Scandura