Interactive Decision Theory and Game Theory最新文献

筛选
英文 中文
Efficiently Eliciting Preferences from a Group of Users 有效地从一组用户中获取偏好
Interactive Decision Theory and Game Theory Pub Date : 2011-10-26 DOI: 10.1007/978-3-642-24873-3_8
G. Hines, K. Larson
{"title":"Efficiently Eliciting Preferences from a Group of Users","authors":"G. Hines, K. Larson","doi":"10.1007/978-3-642-24873-3_8","DOIUrl":"https://doi.org/10.1007/978-3-642-24873-3_8","url":null,"abstract":"","PeriodicalId":367476,"journal":{"name":"Interactive Decision Theory and Game Theory","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132375632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Modeling Bounded Rationality of Agents During Interactions 智能体在交互过程中的有限理性建模
Interactive Decision Theory and Game Theory Pub Date : 2011-05-02 DOI: 10.5555/2034396.2034528
Qing Guo, P. Gmytrasiewicz
{"title":"Modeling Bounded Rationality of Agents During Interactions","authors":"Qing Guo, P. Gmytrasiewicz","doi":"10.5555/2034396.2034528","DOIUrl":"https://doi.org/10.5555/2034396.2034528","url":null,"abstract":"Frequently, it is advantageous for an agent to model other agents in order to predict their behavior during an interaction. Modeling others as rational has a long tradition in AI and game theory, but modeling other agents' departures from rationality is difficult and controversial. This paper proposes that bounded rationality be modeled as errors the agent being modeled is making while deciding on its action. We are motivated by the work on quantal response equilibria in behavioral game theory which uses Nash equilibria as the solution concept. In contrast, we use decision-theoretic maximization of expected utility. Quantal response assumes that a decision maker is rational, i.e., is maximizing his expected utility, but only approximately so, with an error rate characterized by a single error parameter. Another agent's error rate may be unknown and needs to be estimated during an interaction. We show that the error rate of the quantal response can be estimated using Bayesian update of a suitable conjugate prior, and that it has a finitely dimensional sufficient statistic under strong simplifying assumptions. However, if the simplifying assumptions are relaxed, the quantal response does not admit a finite sufficient statistic and a more complex update is needed. This confirms the difficulty of using simple models of bounded rationality in general settings.","PeriodicalId":367476,"journal":{"name":"Interactive Decision Theory and Game Theory","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125925080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书