Structural Learning (Volume 2): Issues and Approaches

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.

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Structural Learning (Volume 2): Issues and Approaches

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.

54.99 In Stock
Structural Learning (Volume 2): Issues and Approaches

Structural Learning (Volume 2): Issues and Approaches

by Joseph M. Scandura (Editor)
Structural Learning (Volume 2): Issues and Approaches

Structural Learning (Volume 2): Issues and Approaches

by Joseph M. Scandura (Editor)

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Overview

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.


Product Details

ISBN-13: 9781351839402
Publisher: Taylor & Francis
Publication date: 09/13/2017
Series: Routledge Library Editions: Psychology of Education
Sold by: Barnes & Noble
Format: eBook
Pages: 354
File size: 4 MB

About the Author

Joseph M. Scandura

Table of Contents

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.

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