{"title":"Choosing a consultant in a dynamic investment problem","authors":"Yuval Cornfeld , Ehud Lehrer , Eilon Solan","doi":"10.1016/j.orl.2025.107354","DOIUrl":null,"url":null,"abstract":"<div><div>We study dynamic decision-making scenarios where the decision maker has several consultants at her disposal, and at every period, chooses between taking an action or getting information on the underlying state through one of the consultants. We explore the optimal strategy, and find that if one of the consultants discloses the state with a positive probability, this consultant will be used in all optimal strategies, provided the consultation cost is sufficiently small.</div></div>","PeriodicalId":54682,"journal":{"name":"Operations Research Letters","volume":"63 ","pages":"Article 107354"},"PeriodicalIF":0.9000,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Operations Research Letters","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167637725001154","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"OPERATIONS RESEARCH & MANAGEMENT SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
We study dynamic decision-making scenarios where the decision maker has several consultants at her disposal, and at every period, chooses between taking an action or getting information on the underlying state through one of the consultants. We explore the optimal strategy, and find that if one of the consultants discloses the state with a positive probability, this consultant will be used in all optimal strategies, provided the consultation cost is sufficiently small.
期刊介绍:
Operations Research Letters is committed to the rapid review and fast publication of short articles on all aspects of operations research and analytics. Apart from a limitation to eight journal pages, quality, originality, relevance and clarity are the only criteria for selecting the papers to be published. ORL covers the broad field of optimization, stochastic models and game theory. Specific areas of interest include networks, routing, location, queueing, scheduling, inventory, reliability, and financial engineering. We wish to explore interfaces with other fields such as life sciences and health care, artificial intelligence and machine learning, energy distribution, and computational social sciences and humanities. Our traditional strength is in methodology, including theory, modelling, algorithms and computational studies. We also welcome novel applications and concise literature reviews.