Search and Optimal Sample Sizes
研究在序列决策中如何选择样本量及是否停止搜索，分析回忆、决策期限和备用效用对最优样本量的影响，并给出序列搜索策略最优性的充要条件。
This paper considers the wide class of problems in which a searcher can choose his sample size and whether or not to stop search at each of a sequence of decision points. Sequential search problems are the special cases in which the sample size chosen at each decision point is unity. Several properties of the optimal sample size sequence are established, with particular attention being paid to the effects of recall, decision horizons and fallback utilities. These properties yield necessary and sufficient conditions for the optimality of sequential search strategies within the class of problems considered.