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

[31] Hardware/software partitioning using Bayesian belief networks
Olson, John T.
Rozenblit, Jerzy W.
Talarico, Claudio
Jacak, Witold
[J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2007, 37 (05): : 655 - 668
[32] Belief update in Bayesian networks using uncertain evidence
Pan, Rong
Peng, Yun
Ding, Zhongli
[J]. ICTAI-2006: EIGHTEENTH INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2006, : 441 - +
[33] Continuous process improvement using Bayesian Belief Networks
Lewis, Nigel D.C.
[J]. Computers and Industrial Engineering, 1999, 37 (01): : 449 - 452
[34] Handling the incomplete data problem using Bayesian networks
Wang, S.C.
Lin, S.M.
Lu, Y.C.
[J]. Qinghua Daxue Xuebao/Journal of Tsinghua University, 2000, 40 (09): : 65 - 68
[35] Extraction of Genetic Networks (GN) Using Static Bayesian Belief Networks From Genome-Wide Temporal Microarray Data
Judit Kumuthini
[J]. BMC Bioinformatics, 6 (Suppl 3)
[36] Extraction of genetic networks (GN) using static Bayesian belief networks from genome-wide temporal microarray data
不详
[J]. BMC BIOINFORMATICS, 2005, 6
[37] Optimising Bayesian belief networks: A case study of information retrieval systems
Indrawan, MT
Srinivasan, B
Wilson, CC
Redpath, R
[J]. 1998 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5, 1998, : 2273 - 2278
[38] Relevance feedback in an information retrieval system based on Bayesian belief networks
Indrawan, M
Wilson, C
Srinivasan, B
[J]. COMPUTATIONAL INTELLIGENCE FOR MODELLING, CONTROL & AUTOMATION - INTELLIGENT IMAGE PROCESSING, DATA ANALYSIS & INFORMATION RETRIEVAL, 1999, 56 : 266 - 271
[39] Research on the Partnering Model by the Complete Information Static Game Model
Yang, Yapin
Wang, Mengjun
[J]. PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON MODELLING AND SIMULATION (ICMS2009), VOL 2, 2009, : 484 - 489
[40] Outlier detection in wireless sensor networks using Bayesian belief networks
Janakiram, D.
Reddy, Adi Mallikarjuna
Kumar, A. V. U. Phani
[J]. 2006 1ST INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS SOFTWARE & MIDDLEWARE, VOLS 1 AND 2, 2006, : 552 - +

← 1 2 3 4 5 →