Structural Learning (Volume 2): Issues and Approaches

Structural Learning (Volume 2): Issues and Approaches

by Joseph M. Scandura

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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: NOOK Book
Pages: 354
File size: 4 MB

Table of Contents

Preface.  1. Basic Unit in Structural Learning: Association or Automaton (Rule)?  A Set-Function Language Joseph M. Scandura.  Stimulus-Response Theory of Finite Automata Patrick Suppes.  Memory Limitations of Stimulus-Response Models Michael A. Arbib.  Stimulus-Response Theory of Automata and Tote Hierarchies: A Reply to Arbib Patrick Suppes.  A Reply to Suppes’ Reply Michael Arbib.  S-R Theory or Automata? (A Final Word) Joseph M. Scandura  2. New Directions for Research on Rule Learning  Empirical Research Joseph M. Scandura.  Comments on Scandura’s Approach to Rule-Governed Behavior Merlin C. Wittrock.  A Reply to Wittrock Joseph M. Scandura  3. Graph Theoretic Models  Psychological Representation of Structured Knowledge James G. Greeno.  Some Preliminary Experiments on Structural Learning James G. Greeno  4. Piagetian Models  Intellectual Growth and Understanding Mathematics Kenneth Lovell.  Activity Stuctures in Four-Year Olds Klaus G. Witz  5. Simulation Models  Human Problem Solving: The State of the Theory in 1970 Herbert A. Simon and Allen Newell.  Cognition, Simulation and the Problem of Complexity Robert E. Shaw  6. Competence Models in Mathematics  Structural Models for Use in Psychological Research Paul C. Rosenbloom.  Mathematical Reasoning and the Structure of Language John Corcoran.  The Nature of a Correct Theory of Proof and its Value John Corcoran.  Two Theories of Proof John Corcoran.  A Theory of Mathematical Knowledge: Can Rules Account for Creative Behavior Joseph M. Scandura.  Formulating Mathematical Models of Psychological Phenomena Zoltan Domotor7. A Theory of Structural Learning  Deterministic Theorizing in Structural Learning: Three Levels of Empiricism Joseph M. Scandura.  Structural Learning: Definitional Foundations for Competence Theories and the Idealized Theory of Behavior Joseph M. Scandura.  Bibliography.  Author Index.  Subject Index.

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