联合博弈及其在市场博弈中的应用

IF 3.2 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Michel Grabisch , Silvia Lorenzini
{"title":"联合博弈及其在市场博弈中的应用","authors":"Michel Grabisch ,&nbsp;Silvia Lorenzini","doi":"10.1016/j.ijar.2025.109466","DOIUrl":null,"url":null,"abstract":"<div><div>We define Bel coalitional games, that generalize classical coalitional games by introducing uncertainty in the framework. Unlike Bayesian coalitional games, uncertainty is modelled through the Dempster-Shafer theory and every agent can have different knowledge. We propose the notion of contract in our framework, that specifies how agents divide the values of the coalitions and we use the Choquet integral to model the agents' preferences between contracts. In a second step, we define the ex-ante core and the ex-<em>t</em>-interim core, where, in the latter, we need the Dempster conditional rule to update the mass functions of agents. In particular, in the last step of the ex-<em>t</em>-interim case and when the set of states reduces to a singleton, i.e., when there is no uncertainty, we recover the classical definition of the core. We give some conditions for the nonemptiness of the ex-ante and the ex-<em>t</em>-interim core of Bel coalitional games, considering different types of agents' knowledge and different kind of games. Finally, we present Bel market games as an economical application.</div></div>","PeriodicalId":13842,"journal":{"name":"International Journal of Approximate Reasoning","volume":"184 ","pages":"Article 109466"},"PeriodicalIF":3.2000,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Bel coalitional games with application to market games\",\"authors\":\"Michel Grabisch ,&nbsp;Silvia Lorenzini\",\"doi\":\"10.1016/j.ijar.2025.109466\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>We define Bel coalitional games, that generalize classical coalitional games by introducing uncertainty in the framework. Unlike Bayesian coalitional games, uncertainty is modelled through the Dempster-Shafer theory and every agent can have different knowledge. We propose the notion of contract in our framework, that specifies how agents divide the values of the coalitions and we use the Choquet integral to model the agents' preferences between contracts. In a second step, we define the ex-ante core and the ex-<em>t</em>-interim core, where, in the latter, we need the Dempster conditional rule to update the mass functions of agents. In particular, in the last step of the ex-<em>t</em>-interim case and when the set of states reduces to a singleton, i.e., when there is no uncertainty, we recover the classical definition of the core. We give some conditions for the nonemptiness of the ex-ante and the ex-<em>t</em>-interim core of Bel coalitional games, considering different types of agents' knowledge and different kind of games. Finally, we present Bel market games as an economical application.</div></div>\",\"PeriodicalId\":13842,\"journal\":{\"name\":\"International Journal of Approximate Reasoning\",\"volume\":\"184 \",\"pages\":\"Article 109466\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2025-05-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Approximate Reasoning\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0888613X25001070\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Approximate Reasoning","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0888613X25001070","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0

摘要

我们定义了Bel联盟对策,通过在框架中引入不确定性来推广经典联盟对策。与贝叶斯联盟博弈不同,不确定性是通过Dempster-Shafer理论建模的,每个代理都可以拥有不同的知识。我们在我们的框架中提出了契约的概念,它规定了代理人如何划分联盟的价值,我们使用Choquet积分来模拟代理人在契约之间的偏好。在第二步中,我们定义了事前核和事前核,在后者中,我们需要Dempster条件规则来更新智能体的质量函数。特别地,在前过渡情形的最后一步,当状态集简化为单态时,即当不确定性存在时,我们恢复了核心的经典定义。考虑不同类型的智能体知识和不同类型的博弈,给出了Bel联盟博弈事前和事前核心非空性的若干条件。最后,我们介绍了Bel市场游戏作为一种经济应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bel coalitional games with application to market games
We define Bel coalitional games, that generalize classical coalitional games by introducing uncertainty in the framework. Unlike Bayesian coalitional games, uncertainty is modelled through the Dempster-Shafer theory and every agent can have different knowledge. We propose the notion of contract in our framework, that specifies how agents divide the values of the coalitions and we use the Choquet integral to model the agents' preferences between contracts. In a second step, we define the ex-ante core and the ex-t-interim core, where, in the latter, we need the Dempster conditional rule to update the mass functions of agents. In particular, in the last step of the ex-t-interim case and when the set of states reduces to a singleton, i.e., when there is no uncertainty, we recover the classical definition of the core. We give some conditions for the nonemptiness of the ex-ante and the ex-t-interim core of Bel coalitional games, considering different types of agents' knowledge and different kind of games. Finally, we present Bel market games as an economical application.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning 工程技术-计算机:人工智能
CiteScore
6.90
自引率
12.80%
发文量
170
审稿时长
67 days
期刊介绍: The International Journal of Approximate Reasoning is intended to serve as a forum for the treatment of imprecision and uncertainty in Artificial and Computational Intelligence, covering both the foundations of uncertainty theories, and the design of intelligent systems for scientific and engineering applications. It publishes high-quality research papers describing theoretical developments or innovative applications, as well as review articles on topics of general interest. Relevant topics include, but are not limited to, probabilistic reasoning and Bayesian networks, imprecise probabilities, random sets, belief functions (Dempster-Shafer theory), possibility theory, fuzzy sets, rough sets, decision theory, non-additive measures and integrals, qualitative reasoning about uncertainty, comparative probability orderings, game-theoretic probability, default reasoning, nonstandard logics, argumentation systems, inconsistency tolerant reasoning, elicitation techniques, philosophical foundations and psychological models of uncertain reasoning. Domains of application for uncertain reasoning systems include risk analysis and assessment, information retrieval and database design, information fusion, machine learning, data and web mining, computer vision, image and signal processing, intelligent data analysis, statistics, multi-agent systems, etc.
×
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×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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:481959085
Book学术官方微信