A study of heuristic learning methods for optimization tasks requiring a sequence of decisions
L. Rowell Huesmann · 1970
Learning is a broad term covering many different phenomena. It is convenient to segment learning into three different problems in induction: the collection and use of stochastic information on past performance in order to improve performance, the determination of which variables are relevant to the decisions being made, and the derivation of performance rules in the predicate calculus from the collected data. This study concentrates on the first problem.