Computational Models of Learning
Leonard Bolc(Editor)
Springer (Publisher)
Published on 26. October 1987
Book
Hardback
IX, 208 pages
978-3-540-16318-3 (ISBN)
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Description
In recent years, machine learning has emerged as a significant area of research in artificial intelligence and cognitive science. At present, research in the field is being intensified from both the point of view of theory and of implementation, and the results are being introduced in practice. Machine learning has recently become the subject of interest of many young and talented scientists whose bold ideas have greatly contributed to the broadening of knowledge in this rapidly developing field of science. This situation has manifested itself in an increasing number of valuable contributions to scientific journals. However, such papers are necessarily compact descriptions of research problems.
Computational Models of Learning
supplements these contributions and is a collection of more extensive essays. These essays provide the reader with an increased knowledge of carefully selected problems of machine learning.
More details
Series
Language
English
Place of publication
Heidelberg
Germany
Publishing group
Springer Berlin
Target group
College/higher education
Professional and scholarly
Weight
540 gr
ISBN-13
978-3-540-16318-3 (9783540163183)
DOI
10.1007/978-3-642-82742-6
Schweitzer Classification
Other editions
Additional editions

Persons
Editor
Contributions
Content
Learning Strategies and Automated Knowledge Acquisition: An Overview.- Heuristics for Empirical Discovery.- Transfer of Training in Procedural Learning: A Matter of Conjectures and Refutations?.- Conceptual Knowledge Acquisition in Search.- Cognitive Development as Optimisation.