SEQUENTIAL SEARCH WITH ADAPTIVE INTENSITY
研究了搜索者每期自适应调整搜索强度的序贯搜索问题，刻画了最优搜索规则和价值，分解了搜索强度的跨期变化为回落值效应和截止期效应，并探讨了完全回忆与无回忆搜索的联系。
Abstract This article studies sequential search problems, where a searcher chooses search intensity adaptively in each period. We fully characterize the optimal search rule and value, decomposing the intertemporal change of search intensity into the fall‐back value effect and the deadline effect. We show that the optimal search intensity (value) is submodular (supermodular) in fall‐back value and time. It follows that the fall‐back value effect increases when the deadline approaches, and the deadline effect decreases when a searcher's fall‐back value gets higher. We further investigate the connection between search with full and no recall to quantify the value of recall .