{"title":"评分模型披露的战略后果研究","authors":"G. M. Kryukov, M. S. Sandomirskaia","doi":"10.1134/S0005117924700139","DOIUrl":null,"url":null,"abstract":"<p>In this paper, the disclosure of information about the scoring model is investigated. Some of the company’s customers find out their internal rating in the company. Such customers can change their behavior to increase their internal rating. The customers who are aware of the leakage are represented as players who can choose a strategy: whether to increase their internal rating and, if so, how much. The main goal is to find the Bayesian–Nash equilibrium in this game and find out how it depends on various parameters, such as the scale of the leakage, the distribution of ratings.</p>","PeriodicalId":55411,"journal":{"name":"Automation and Remote Control","volume":"85 8","pages":"696 - 710"},"PeriodicalIF":0.6000,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Study of the Strategic Consequences of a Scoring Model Disclosure\",\"authors\":\"G. M. Kryukov, M. S. Sandomirskaia\",\"doi\":\"10.1134/S0005117924700139\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>In this paper, the disclosure of information about the scoring model is investigated. Some of the company’s customers find out their internal rating in the company. Such customers can change their behavior to increase their internal rating. The customers who are aware of the leakage are represented as players who can choose a strategy: whether to increase their internal rating and, if so, how much. The main goal is to find the Bayesian–Nash equilibrium in this game and find out how it depends on various parameters, such as the scale of the leakage, the distribution of ratings.</p>\",\"PeriodicalId\":55411,\"journal\":{\"name\":\"Automation and Remote Control\",\"volume\":\"85 8\",\"pages\":\"696 - 710\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2024-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Automation and Remote Control\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://link.springer.com/article/10.1134/S0005117924700139\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Automation and Remote Control","FirstCategoryId":"94","ListUrlMain":"https://link.springer.com/article/10.1134/S0005117924700139","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
The Study of the Strategic Consequences of a Scoring Model Disclosure
In this paper, the disclosure of information about the scoring model is investigated. Some of the company’s customers find out their internal rating in the company. Such customers can change their behavior to increase their internal rating. The customers who are aware of the leakage are represented as players who can choose a strategy: whether to increase their internal rating and, if so, how much. The main goal is to find the Bayesian–Nash equilibrium in this game and find out how it depends on various parameters, such as the scale of the leakage, the distribution of ratings.
期刊介绍:
Automation and Remote Control is one of the first journals on control theory. The scope of the journal is control theory problems and applications. The journal publishes reviews, original articles, and short communications (deterministic, stochastic, adaptive, and robust formulations) and its applications (computer control, components and instruments, process control, social and economy control, etc.).