✦ LIBER ✦

Bolc, Leonard, (Ed.): Computational Models of Learning. Springer-Verlag, Berlin – Heidelberg – New York – London – Paris – Tokyo 1987, IX, 208 pp., 34 Figs., DM 108.–, ISBN 3-540-16318-2

✍ Scribed by D. Seese

Publisher: John Wiley and Sons
Year: 1989
Tongue: English
Weight: 70 KB
Volume: 31
Category: Article
ISSN: 0323-3847
DOI: 10.1002/bimj.4710310117

No coin nor oath required. For personal study only.

✦ Synopsis

The fascinating development of contemporary Artificial Intelligence makes i t to the most promissing and remarkable field in contemporary and future computer science. One of the most fundamental research problems in this area is the investigation of computational models of learning. A real breakthrough in this domain would lead to a revolution of the whole field of Artificial Intelligence and its applications.

The present volume contains a well-selected number of essays covering basic aspects of contemporary research in this domain. The following articles are contained:

Learning Strategies and Automated Knowledge Acquisition: An Overview, by R. S. MICHALSKI, Heuristics for Empirical Discovery, by P.

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