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SELECTION SEARCH FOR MEAN AND TEMPERATURE OF MULTI-BRANCH COMBINATORIAL GAMES

dc.citation.epage176en_US
dc.citation.issue3en_US
dc.citation.spage157en_US
dc.citation.volume35en_US
dc.citation.woscount0en_US
dc.contributor.authorKao, Kuo-Yuanen_US
dc.contributor.authorWu, I-Chenen_US
dc.contributor.authorShan, Yi-Changen_US
dc.contributor.authorYen, Shi-Jimen_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.date.accessioned2019-04-03T06:37:20Z
dc.date.available2019-04-03T06:37:20Z
dc.date.issued2012-09-01en_US
dc.description.abstractThis paper shows a new algorithm to calculate the mean and temperature of multi-branch combinatorial games. The algorithm expands gradually, one node at a time, the offspring of a game. After each step of expansion, the lower and upper bounds of the mean and temperature of the game are re-calculated. As the expanding process continues, the range between the lower and upper bounds is little by little narrowed. The key feature of the algorithm is its ability to generate a path of which the outcome is most likely to reduce the distance between the lower and upper bounds.en_US
dc.identifier.doi10.3233/ICG-2012-35303en_US
dc.identifier.issn1389-6911en_US
dc.identifier.journalICGA JOURNALen_US
dc.identifier.urihttp://dx.doi.org/10.3233/ICG-2012-35303en_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/25246
dc.identifier.wosnumberWOS:000209088700002en_US
dc.language.isoen_USen_US
dc.titleSELECTION SEARCH FOR MEAN AND TEMPERATURE OF MULTI-BRANCH COMBINATORIAL GAMESen_US
dc.typeArticleen_US

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