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Implications of learning for economic planning

โœ Scribed by Clem Tisdell


Publisher
Springer US
Year
1970
Tongue
English
Weight
923 KB
Volume
10
Category
Article
ISSN
1573-9414

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This paper reports on experiments where techniques of supervised machine learning are applied to the problem of planning. The input to the learning algorithm is composed of a description of a planning domain, planning problems in this domain, and solutions for them. The output is an efficient algori