Structural Learning (Volume 2) (eBook, PDF)

Issues and Approaches
Redaktion: Scandura, Joseph M.

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 354
• Erscheinungstermin: 13. September 2017
• Englisch
• ISBN-13: 9781351839419
• Artikelnr.: 49268027