Using Bayesian networks to model the belief in the opponent in static game with incomplete information

被引：0

作者：

Wang, XF ^{[1
]}

Liu, WY ^{[1
]}

Li, J ^{[1
]}

Zhao, Y ^{[1
]}

机构：

[1] Yunnan Univ, Dept Comp Sci, Kunming, Peoples R China

来源：

PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2004年

关键词：

game theory; equilibria; strategy; Bayesian Networks; belief;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Noncooperative game theory provides a normative framework for analyzing strategic interactions of agents. In some noncooperative games agent may be lack of information about its opponents. So it must make decision on uncertain opponents. In this paper, Bayesian Network is used to model the agent uncertainty Of its opponents. The uncertainty can be updated when some events happen through Bayesian Network.

引用

页码：249 / 252

页数：4

共 50 条

[21] Game theory-based energy balance routing with incomplete information in wireless sensor networks [J].

Department of Automation, Tsinghua University, Beijing 100084, China .

Zidonghua Xuebao/Acta Automatica Sinica, 2008, 34 (03) :317-322

[22] Probabilistic approach for characterising the static risk of ships using Bayesian networks [J].

Dinis, D. ;

Teixeira, A. P. ;

Soares, C. Guedes .

RELIABILITY ENGINEERING & SYSTEM SAFETY, 2020, 203

[23] Formulating concession period of BOT project using bargaining game theory with incomplete information [J].

Bao, HJ .

PROCEEDINGS OF CRIOCM 2005 INTERNATIONAL RESEARCH SYMPOSIUM ON ADVANCEMENT OF CONSTRUCTION MANAGEMENT AND REAL ESTATE, 2005, :549-557

[24] Modeling information risk in supply chain using Bayesian networks [J].

Sharma, Satyendra ;

Routroy, Srikanta .

JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT, 2016, 29 (02) :238-254

[25] Using weak prior information on structures to learn Bayesian networks [J].

Mascherini, Massimiliano ;

Stefanini, Federico M. .

KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS: KES 2007 - WIRN 2007, PT I, PROCEEDINGS, 2007, 4692 :413-+

[26] Multiple Jammer Attacks on Cognitive Radio Networks over Noisy Channels: A Strategic Game with Incomplete Information [J].

Deepak, B. R. ;

Kumar, Dhananjay .

DEFENCE SCIENCE JOURNAL, 2024, 74 (06) :911-920

[27] Analysis of facility location model using Bayesian Networks [J].

Dogan, Ibrahim .

EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (01) :1092-1104

[28] Using Incomplete Information Dynamic Game Theory to Improve IEEE802.11 MAC Protocol [J].

Lv, Na ;

Wang, Xiang ;

Xu, Demin ;

Zhang, Guopeng .

CJCM: 5TH CHINA-JAPAN CONFERENCE ON MECHATRONICS 2008, 2008, :149-151

[29] Integrated water resources management of the hydrogeological unit "Eastern Mancha" using Bayesian Belief Networks [J].

de Santa Olalla, FJM ;

Domínguez, A ;

Artigao, A ;

Fabeiro, C ;

Ortega, JF .

AGRICULTURAL WATER MANAGEMENT, 2005, 77 (1-3) :21-36

[30] Using Bayesian belief networks to identify potential compatibilities and conflicts between development and landscape conservation [J].

McCloskey, Jon T. ;

Lilieholm, Robert J. ;

Cronan, Christopher .

LANDSCAPE AND URBAN PLANNING, 2011, 101 (02) :190-203

← 1 2 3 4 5 →