Franz Schmalhofer

Constructive Knowledge Acquisition

A Computational Model and Experimental Evaluation

• Gebundenes Buch

Produktbeschreibung

A volume that seeks to demonstrate how experimental psychology can proceed more successfully by investigating those aspects that are shared among different areas of research like text comprehension, categorization and learning by exploration.

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This volume, which describes the development and experimental testing of a model of how knowledge is acquired (using LISP programming as the domain of interest), will be of value to all cognitive scientists, AI researchers, and cognitive psychologists.

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Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis Ltd (Sales)
• Seitenzahl: 328
• Erscheinungstermin: 1. November 1997
• Englisch
• Abmessung: 234mm x 162mm x 26mm
• Gewicht: 694g
• ISBN-13: 9780805827248
• ISBN-10: 0805827242
• Artikelnr.: 43615459

Autorenporträt

Franz Schmalhofer

Inhaltsangabe

Contents: Introduction and Overview. Part I: Cognitive Modeling of
Learning. Computational Models of Knowledge Acquisition. The Levels
Approach Toward Cognitive Modeling. Learning From Text. Integration With
the Acquisition of Knowledge From Cases. Unified Model of Knowledge
Acquisition and Experimental Predictions. Part II: Experimental Evaluation.
The Influence of Different Learning Goals. The Acquisition of Equivalent
Knowledge From Different Types of Study Materials. Material Transformation.
The Effect of Prior Knowledge On the Learning From Different Types of
Materials. An Experimental Comparison of the Integrated Knowledge
Acquisition and the Example Dominance Hypotheses. Part III: Application,
Discussion, and Prospects. Instructional Technology and Expert Systems.
General Discussion, Conclusions, and Future Directions.