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Applying Bayesian networks in the game of Minesweeper

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    SYSNO ASEP0331175
    Document TypeC - Proceedings Paper (int. conf.)
    R&D Document TypeConference Paper
    TitleApplying Bayesian networks in the game of Minesweeper
    TitleAplikace bayesovských sítích ve hře Minesweepe
    Author(s) Vomlelová, M. (CZ)
    Vomlel, Jiří (UTIA-B) RID, ORCID
    Source TitleProceedings of Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty. - Ostrava : Universitatis Ostraviensis, 2009 / Novák V. ; Pavliska V. ; Štěpnička M.
    Pagess. 153-162
    Number of pages10 s.
    Publication formWWW - WWW
    ActionCzech-Japan Seminar on Data Analysis and Decision-Making under Uncertainty /12./
    Event date24.09.2009-27.09.2009
    VEvent locationLitomyšl
    CountryCZ - Czech Republic
    Event typeWRD
    Languageeng - English
    CountryCZ - Czech Republic
    KeywordsBayesian network ; probabilistic inference ; tensor rank-one decomposition
    Subject RIVBD - Theory of Information
    R&D Projects1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    GA201/09/1891 GA ČR - Czech Science Foundation (CSF)
    CEZAV0Z10750506 - UTIA-B (2005-2011)
    AnnotationWe use the computer game of Minesweeper to illustrate few modeling tricks utilized when applying Bayesian network (BN) models in real applications. Among others, we apply rank-one decomposition (ROD) toconditional probability tables (CPTs) representing addition. Typically, this transformation helps to reduce the computational complexity of probabilistic inference with the BN model. However, in this paper we will see that (except for the total sum node) when ROD is applied to the whole CPT it does not bring any savings for the BN model of Minesweeper. Actually, in order to gain from ROD we need minimal rank-one decompositions of CPTs when the state of the dependent variable is observed. But this is not known and it is a topic for our future research.
    WorkplaceInstitute of Information Theory and Automation
    ContactMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
    Year of Publishing2010
Number of the records: 1  

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