୯ҥᆵεᏢႝᐒၗૻᏢଣၗૻπำᏢس
୯ҥᆵεᏢ
ၗૻπำᏢس
ᅺγፕЎ
Department of Computer Science and Information Engineering
College of Electrical Engineering & Computer Science
National Taiwan University
ᅺγፕЎ
ၯᔍᄽᆉݤӧኔլจၯᔍ
. εԴΒޑᔈҔᆶКၨ
ྍᡒ ኗ
97 2
master thesis
ၯᔍᄽᆉݤӧኔլจၯᔍ-εԴΒޑᔈҔᆶКၨ
The game theory’s application and comparison on pokergame Bigtwo
ྍᡒ
Yuan-Lin Huang
ࡰᏤ௲ȅֈػၰ ௲
Dr. Yuh-Dauh Lyuu
ύ҇୯ 98 ԃ 6 Д June 2009
i
୯ҥᆵεᏢᅺγᏢՏፕЎ α၂ہቩۓਜ
ፕЎύЎᚒҞ ፕЎमЎᚒҞ
ҁፕЎ߯ɄɄɄ։ȐɄᏢဦɄȑӧ୯ҥᆵεᏢၗૻπำᏢسֹԋ ϐᅺγᏢՏፕЎǴܭ҇୯ɄɄԃɄɄДɄɄВ܍ΠӈԵ၂ہቩ೯ၸ Ϸα၂ϷǴԜܴ
α၂ہǺ
! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! _________
ȐࡰᏤ௲ȑ
! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !
! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !
! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !
! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !
س Ь Һ
! ! ! ! ! ! ! ! ! ! ! ________
ii
ठᖴ
གᖴ৪ᢌܹԴৣ໒ޑፐȨႝတჹֽፕȩ௴วගٮΑךፕЎޑБӛ གᖴࡰᏤԴৣֈػၰޑӕཀᆶЍᡣךёаࣴز೭ঁᚒҞ
གᖴךޑৎΓޑᜅշόฅךόٰۺࣴز܌
གᖴךޑܻ϶ǵӕᏢ๏ϒךႴᓰکЍᡣךૈճֹԋ೭ፕЎ
iii
ύЎᄔा
ၯᔍᄽᆉݤӧႝတΓπඵችύޔתᄽख़ाޑفՅϐǴᙖҗ၂ᡣႝ
တ׳ԖඵችޑވၯᔍǴՖᒏΓᜪޑඵችǶၯᔍᄽᆉݤޑࣴزவԐයޑᚈΓ ၯᔍǵֹӄၗૻၯᔍǴۯ՜ډӭΓၯᔍǵόֹӄၗૻၯᔍǴԖӚԄӚኬޑᄽᆉ ݤǶҁЎ٬Ҕځύ٤ᄽᆉݤǴҔӧኔլจၯᔍ-εԴΒǴКၨځᓬӍ٠уа
ፕǶ
ᜢᗖӷǺ
ၯᔍᄽᆉݤǴΓπඵችǴӭΓၯᔍǴmaxnᄽᆉݤǴኔլจၯᔍ-εԴΒ
iv
Abstract
Game algorithms play an important role of artificial intelligence, we try to find human intelligence by making computer play games more wisely. Researches of game algorithms from earlier two-player games and perfect information games extend to multi-player games and imperfect information games. There are many kinds of game algorithms. In this thesis, we apply some of these algorithms to the pokergame Bigtwo. We also analyze the various algorithms.
Key words:
Game algorithm, artificial intelligence, multi-player game, maxn algorithm, pokergame Bigtwo
!
Ҟ!!ᒵ!
α၂ہቩۓਜ /////////////////////////////////////////////////// j!
ठᖴ ////////////////////////////////////////////////////////////// jj!
ύЎᄔा ///////////////////////////////////////////////////////// jjj!
Bctusbdu ////////////////////////////////////////////////////////// jw!
ಃക! ᙁϟ /////////////////////////////////////////////////////// 2!
ಃΒക! ၯᔍᄽᆉݤޑᐕў /////////////////////////////////////////// 3!
3/2!നԐයޑၯᔍࣴز /////////////////////////////////////////// 3!
3/3!ᚈΓֹӄၗૻၯᔍޑࣴز////////////////////////////////////// 5!
3/4!ӭΓၯᔍޑࣴز ///////////////////////////////////////////// 8!
ಃΟക! εԴΒޑވݤᆶೕ߾ //////////////////////////////////////// 22!
ಃѤക! ჴᡍᆶኧᏵ //////////////////////////////////////////// 25!
ಃϖക! ่ፕ ////////////////////////////////////////////////////// 27!
ୖԵЎ ////////////////////////////////////////////////////////// 28!
!
!
კҞᒵ
კ 2!BMQIB!QSVOJOHǶ /////////////////////////////////////////////////// 6!
კ 3!CFUB!QSVOJOHǶ //////////////////////////////////////////////////// 7!
კ 4!NBYOǶ ////////////////////////////////////////////////////////// 9!
კ 5!NBYO!QSVOJOHǶ //////////////////////////////////////////////////// :!
კ 6!NBYO!FYDFQUJPOǶ/////////////////////////////////////////////////// :!
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!
!
!
߄Ҟᒵ
߄!2 ѤঁUZQF!BႝတޑКᖻ่݀Ƕ /////////////////////////////////// 25!
߄!3 ΟঁUZQF!BکঁUZQF!C)ཛྷ൨ుࡋ 7*ႝတޑКᖻ่݀Ƕ///////////// 26!
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1
ಃകʳ ᙁϟ!
ΓπඵችӧႝတࣴزޑሦୱޔࢂߐޑࣴزϐǴᏢޣॺठΚܭ פ൨ӵՖᡣႝတՉள׳ຠ߈ΓᜪޑՉࣁޑБݤǴ׆ఈૈᡣႝတ׳Ԗඵችޑ ᔅշΓᜪǴԶၯᔍႝတ AI ޑࣴز൩ࢂځύঁࣴزޑБӛǶᙖҗӵՖᡣႝ
တވၯᔍވள্ǴکΓᜪ࣬КΞࢂӵՖǴٰΓᜪޑඵችᆶᐒᏔޑඵች ޑ౦ӕǶ
ၯᔍᄽᆉݤவനԐය brute-force પኪΚཛྷ൨Ǵډࡕٰޑ alpha-beta ׯؼ ཛྷ൨ݤаϷ٤ೕ߾ϯޑۓကǴ٬ளႝတӧވၯᔍຫٰຫமǴࣗԿঐᎯ ܭΓᜪϐǶ1997 ԃՋࢩ්ᐒᏔΓ-ుᙔ(Deep Blue)Ѻ௳ΑШ්ࣚЦ׳ёᇥ
ࢂฦΑਔޑଯঢ়Ƕ
ԶӭԐයၯᔍᄽᆉݤЬाࢂࡌҥӧᚈΓֹӄၗૻޑၯᔍ(two-player perfect information game)ǴՠΨԖຫٰຫӭۯ՜ޑᄽᆉݤ໒ۈܭӭΓၯᔍ (multi-player game) ǴаϷߚֹӄၗૻၯᔍ(imperfect information game)Ƕ
ҁЎ၂ஒᄒԿҞࣁЗрޑ٤ᄽᆉݤǴҔӧӭΓޑኔլจၯᔍ- εԴΒǴ٠КၨځᓬӍǴයఈૈפрׯᄽᆉݤޑБӛǶ
ӧಃΒക္Ǵϟಏ٤வаډӧ܌рၯᔍᄽᆉݤޑ࣬ᜢࣴزǶ
ಃΟകᇥܴኔլจၯᔍ-εԴΒޑၯᔍೕ߾ϷވݤǶಃѤകࢂჴᡍޑϷኧ ᏵǶಃϖകࢂፕϷ่ፕǶ
2
!
ಃΒകʳ !ၯᔍᄽᆉݤޑᐕў!
!
3/2!നԐයޑၯᔍࣴز!
ၯᔍᄽᆉݤޑᏢޣᇡࣁǴനԐ໒ۈബҥԖسޑၯᔍᄽᆉݤޑۈ
ࢂহၭܭ 2:5: ԃ܌ว߄ޑЎക!\9^!ǶځࣁጇࣴزӵՖ٬ҔำԄΠՋࢩ්
ޑЎകǴԜጇЎകόΑӵՖΠՋࢩ්Ǵ׳ᗺрΑ܌Ԗၯᔍᄽᆉݤ܌
ᔈ၀ԵໆޑӚाનǶ!
२ӃǴঁ්ֽёаಒϩࣁӭၗૻٰж߄ӧޑዬय़Ǵٯӵ්ηޑ Տᆶঁኧǵ፺ډη܈қηǵᄒԿҞዬय़ࣁЗޑ්ηوݤǾǶჹܭ ٿঁވৎٰᇥǴ೭٤ၗૻࢂֹӄϦ໒ޑ)qfsgfdu!jogpsnbujpo*Ƕ!
ࡽฅၗࢂֹӄϦ໒ޑǴٗሶךॺ൩ૈଞჹჹЋΠޑᅿёૈ܄
ཛྷ൨Ƕऩࢂдو೭ЋǴ፺ډךॺਔךॺԖٗ٤ኧёаᒧǴௗдΞ ёаӵՖوΠǴനࡕפрۓჹԾρԖճޑኧǶፕ೭ࢂᒤளډޑǴ ՠ٣ჴाीᆉр܌ԖޑݤǴךॺሡाीᆉεऊԖ 21231ᅿᡂϯǴջ٬
ךॺѝడࣾ)21.7t*Ǵךॺϝሡा 21:1ԃωૈीᆉֹΠ၀ӵՖوǶ ќᅿБݤࢂᆉр܌Ԗёૈޑዬय़ǴᙖԜפрӵՖՉډ܌ᒏȨയճȩޑዬ य़ǴԶ܌Ԗޑዬय़ᕴӅԖ 75"0!43")9"*3)3"*7!ᅿǴஒ߈ 2154ᅿǴ܌а೭Ψࢂ
3
όϪჴሞޑǶ!
ࡽฅόёૈӈр܌ԖޑёૈǴٗሶךॺޑౣࢂǴᅰёૈޑவҞޑ
༈ύפрӳޑΠǶӧԜдΨගрΑߚதख़ाޑۓǴٗ൩ࢂቩֽڄ ኧ)fwbmvbujpo!gvodujpo*ǶቩֽڄኧޑфҔǴӧܭղᘐҞዬय़ٿБ༈Κޑ ᓬӍǴٯӵ්ηഭຫӭޑБϩኧᔈ၀КၨଯǵԖόߔᏲޑࣤӟ)܈ࠤ ൕǵЬ௲*ᔈ၀ԖၨଯޑϩኧǶӧౣݤཛྷ൨္ǴቩֽڄኧתᄽޑفՅ ൩ࢂǴךॺ،ۓو೭ډΠঁዬय़ਔǴךॺӵՖޕၰ೭ჹךॺٰ
ᇥࢂӳޑᗋࢂᚯޑǻԜਔ൩ाቩֽڄኧٰղᘐΑǶ!
ԖΑቩֽڄኧϐࡕǴౣޑཛྷ൨൩ᡂԋᅿ nby.njo ޑཛྷ൨Ƕ፺ډך ॺՉਔǴךॺा൨פӵՖന٫ϯךॺޑϩኧޑݤ)nby*Ǵϸϐ፺ډჹЋ ՉਔǴд൨פӵՖന٫ϯдޑϩኧޑݤǴ࣬ჹٰᇥջࢂ٬ךॺϩኧന եޑݤ)njo*Ƕ!
ჹ܌Ԗёૈޑݤཛྷ൨ޑБԄǴךॺᆀϐࣁ Uzqf.BǶ٣ჴ೭ኬޑᄽ ᆉݤࢂߚதؒԖਏǴՉрٰޑႝတமࡋࢂߚதޑ১ޑǴӢࣁӧԖज़ޑਔ ໔ϣдࣁΑཛྷ൨܌ԖёૈޑݤǴ٬ளд܌ૈޑుࡋࢂߚதభޑǴдѝ
ૈղᘐௗΠٰޑٿΟዬय़ֽ༈ޑᡂϯǶ!
ঁӳޑΓᜪވৎΨόჹ܌Ԗёૈݤۯ՜ԵໆǴдѝࡘԵځύ
൳ᅿݤǶՠࣗሶࢂӳޑݤǴঁКၨᙁൂޑղձٯη൩ࢂǺёаӞჹ Б්ηޑݤᔈ၀ࢂӳޑǶଞჹ೭٤ӳޑݤཛྷ൨Ǵךॺᆀϐࣁ Uzqf.CǶ
4
ࡷ٤ٰ࣮Кၨख़ाޑوΠѐǴёа࣪ࡐӭਔ໔ǴቚуਏǶ!
നࡕǴךॺᔈ၀ᗉխԛӧӕኬޑዬय़ΠǴᡣႝတֹӄ࣬ӕޑ،ۓǶ Ӣࣁ൩നࡕٰ่݀ᇥǴ೭҂Ѹࢂന҅ዴޑᒧǴࣗԿёૈࢂᏤठѨ௳ޑ চӢǶךॺёаቚу٤ᒿᐒᡂኧǴ٬ႝတӧ،ۓਔόԛཛྷ൨ޑׇ
کᒧޑБԄ࣬ӕǶ!
!
3/3!ᚈΓֹӄၗૻၯᔍޑࣴز!
ԖΑ୷ҁޑسࢎᄬϐࡕǴࡕٰࣴزၯᔍޑᏢޣॺǴӧགྷᒤݤ٬ำԄ ޑਏૈගଯǶεठޑࣴزБӛࢂǺ٬Ҕ׳ᆒዴޑቩֽڄኧǴ٬Ҕ׳זೲཛྷ ൨ޑᄽᆉݤǶځύԖঁനݱҔǴ൳ЯѸഢޑঁᄽᆉݤ൩ࢂ bmqib.cfub!
qsvojoh!\6^Ƕ!
Bmqib.cfub!qsvojoh! ࢂঁ୷ܭ njo.nby ཛྷ൨ۯ՜рٰуזཛྷ൨ਏ
ޑঁᄽᆉݤǴځཷाࢂᅰໆ෧Ͽሡाཛྷ൨ޑᗺኧҞǴჹܭόቹៜډཛྷ ൨่݀ޑᗺ൩Ӄόѐཛྷ൨ǶѬЬाϩԋٿᅿຊݤ;!bmqib ຊ!'!
cfub!ຊ!Ƕ!
Bmqib ຊǺౢғܭ nby!opefǴଷӧ nby!opef ޑಃঁϩЍཛྷ൨ֹࡕ ளډΑঁ wbmvfǴௗᇆ൨ಃΒঁϩЍǴ߾ಃঁϩЍޑ wbmvf ёаԋ
ঁࣁղձޑ cpvoeǶϩЍ 3/2 ӣঁॶɦcpvoeǴٗሶௗΠٰϩЍ 3/3 ϷϐࡕޑϩЍ൩ؒѸाཛྷ൨ΑǴӢࣁϩЍ 3 ޑॶԿϿɦcpvoe!)njo!
5
opef*ǶჹϩЍ 2 ٰᇥǴѬޑॶԿϿɧcpvoeǴ܌а 3/3 аࡕཛྷ൨рٰޑॶ
ࢂؒԖཀကޑǶ၁ـკǶ)қՅᗺж߄ nby!opefǴՅᗺж߄ njo!
opef Ƕ*!
კ 2!bmqib!qsvojohǶ!
Cfub ຊǺౢғܭ njo!opefǴଷӧ njo!opef ޑಃঁϩЍཛྷ൨ֹࡕ ளډΑঁ wbmvfǴௗᇆ൨ಃΒঁϩЍǴ߾ಃঁϩЍޑ wbmvf ёаԋ
ঁࣁղձޑ cpvoeǶϩЍ 2/3/2 ӣঁॶɧcpvoeǴٗሶௗΠٰϩЍ 2/3/3 ϷϐࡕޑϩЍ൩ؒѸाཛྷ൨ΑǴӢࣁϩЍ 2/3 ޑॶԿϿɧcpvoe!
)nby!opef*ǶჹϩЍ 2 ٰᇥǴѬޑॶԿϿɦcpvoeǴ܌а 2/3/3 аࡕཛྷ൨р
ٰޑॶࢂؒԖཀကޑǶ၁ـკΒǶ!
6
კ 3!cfub!qsvojohǶ!
!
ӧᏢ bmqib.cfub!qsvojoh ࡕǴךॺ໒ۈࣴزӵՖᡣස hbnf!usff ܌ ሡཛྷ൨ޑᗺኧ෧ډനϿǴΨ൩ࢂૈനӭޑຊǶਥᏵࣴزךॺวǴ ऩࢂසᐋѬޑ௨ӈӳޑ၉ǴѬ൩ёаനӭޑຊǶࣗሶࢂঁӳޑ௨ ӈǻ൩ࢂᅰໆᡣԖКၨӳޑ่݀ޑᗺࣁϩЍύޑಃঁᗺǶךॺவ
य़ޑۓကύёа࣮рǴऩࢂӧಃঁᗺύךॺ൩פډঁࡐӳޑॶǴٗ
ӧཛྷ൨ځࡕޑϩЍਔǴךॺதத൩ёа٤όѸाཛྷ൨ޑᗺǶܭࢂǴ ӵՖঁӳޑ௨ӈޑཛྷ൨ᐋ)hppe!npwf!psefsjoh*Ǵ൩ԋࣁ۳ࡕࣴزޑख़ ᗺϐǶ!
ځჴ೭ၟךॺѳதΠ්܈ѺจਔޑࡘԵኳԄࢂߚதᜪ՟ޑǴ೯தךॺӧ ࡘԵΠ၀ӵՖوਔǴۓӃࡷ٤࣮ଆٰКၨԖճёკޑݤѐགྷΠ
ϐࡕޑֽ༈ǶٯӵΠΑ೭ёа࠶ુჹБޑ ljohǴ൩ᓬӃԵቾǶԶ
7
Кၨόख़ाޑݤǴ۳۳ᘍӧനࡕωѐࡘԵځёૈ܄ǶٯӵوΑჹ්ֽ
คᜢᆙाޑγծǶ!
ନΑӵՖ෧Ͽᗺቚуཛྷ൨ਏаѦǴΨԖ٤ΓݙܭόӕБӛޑࣴز
ǴႽࢂჹЋኳಔ)pqqpofou!npefm*\3^ǶځޑࢂӵՖਥᏵჹЋόӕǴࡌ ҥ׳Ԗਏޑౣཛྷ൨ǶӳКᇥԖ٤ΓΠຝ්ਔࡐҔଭǴٗሶΨӵՖӞ
дޑଭࢂКၨख़ाޑౣǶԖᜢ pqqpofou!npefm ޑࡌҥΨԖӭϩЍǴம ϯᏢಞݤ)sfjogpsdfnfou!mfbsojoh*\21^൩ࢂځύᅿǴЬाࢂਥᏵόଶ ޑ usbjojoh ٰፓϩኧǴ٬ౣന٫ϯǶ!
߈ٰᗋԖঁΜϩ჻ཥޑᄽᆉݤǴћ npouf.dbsmp! \2^ǶԜᄽᆉݤନ ΑёаᔈҔӧၯᔍౣཛྷ൨ǴΨёаቶݱӦၮҔӧځдٯӵߎᑼीᆉ
य़ǴځЬᡏεठࢂճҔεໆኳᔕኧᏵीǴᙖҗεኧፕǴפډঁᖿ ߈ܭന٫ှޑှǶҔӧၯᔍᐋǴѬԖঁֹӄόӕܭহၭޑӦБǴ൩ࢂ
ѬόሡाቩֽڄኧǶѬᐋᗺޑሽॶࢂҗኳᔕډಖᗺਔǴ่࣮݀ࢂគ܈
ᒡ)܈ঁॶ*Ǵฅࡕӆஒ่݀۳ӣډঁၸޑᗺಕᑈǶ!
Զᒿႝတೱ่ೲࡋᡂזǴаϷӭਡЈᅌᅌදϷǴѳՉᄽᆉݤΨ໒ۈ
ᔈҔ่ӝډځдᄽᆉݤ္\4^ǴࢂࣁΑૈ׳ගϲำԄीᆉޑೲࡋǶ!
!
3/4!ӭΓၯᔍޑࣴز!
ନΑᚈΓၯᔍѦǴΨຫٰຫӭΓ໒ۈΕࣴزӭΓၯᔍޑሦୱǴӭΓၯ
8
ᔍԖӭόӕܭᚈΓၯᔍޑࡷᏯ\:^ǴคݤֹӄҔᚈΓၯᔍޑᡍӧځǶ!
२ӃӀࢂnby.njo!tfbsdiǴ൩όࢂёаޔௗҔޑᄽᆉݤǴӢࣁԜਔވ ৎςᡂԋ 4 Γ 5 ΓǶӢԜԖΓගрΑnbyo!bmhpsjuin\7^Ǵځཷۺၟnby.njo
࣬ᜪ՟Ƕ!
२ӃڗжΑচҁᗺѝԖൂޑॶǴঁᗺӧׯԋԖঁ
O.uvqmf ॶޑତӈǴಃ j.uvqmf ޑॶ൩ж߄ވৎ j ޑϩኧǶਥᏵ nby ᗺޑ চ߾Ǵӧވৎ 2 ޑᗺǴჹځηᗺཛྷ൨ਔǴ൩ࡷᒧ٬ވৎ˞Ԗനଯϩ ኧޑᗺ)uvqmf.2 ϩኧനଯޑ*Ƕځдᗺ߾٩ԜᜪǶӵკΟǶ!
კ 4!nbyoǶ!
Nbyo!ΨԖ܌ᒏޑbmqib.cfubຊݤǴచҹࢂ୷ܭuvqmfॶޑᕴکڰۓ )ज़*аϷځॶԿϿाεܭ 1)Πज़*Ƕٗሶଷᗺbޑuvqmf.2!ޑॶу
ᗺgޑuvqmf.3 ޑॶςεܭᕴکǴٗᗺgޑځᎩηᗺࢂёа۹ౣόཛྷ൨ ޑǶ၁ـკѤǶ!
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კ 5!nbyo!qsvojohǶ!
ՠࢂ bmqib.cfub ډΑӭΓၯᔍΨࢂԖٯѦޑǴځচӢԖΒǴঁࢂջ٬
ຊޑᗺϝฅԖёૈቹៜډසၯᔍᐋޑॶǹځΒӧܭѳᑽᗺڗ௭ޑ όӕǴԋঁၯᔍᐋޑόӕǶځǴ၁ـკϖǴऩਥᏵ bmqib.cfub ຊǴ g ᔈ၀ࢂाޑǴՠࢂ٩Ᏽ g ޑॶޑόӕǴසᐋޑ่݀όӕǶ!
კ 6!nbyo!fydfqujpoǶ!
ځΒǴ܌ᒏޑѳᑽᗺࢂࡰࢌᗺӛΠཛྷ൨ځηᗺਔǴၶډٿঁ)܈
а*ηᗺӕϩޑݩǶӧᚈΓၯᔍਔǴӢࣁᕴک࣬ӕΞѝԖٿঁވৎǴ܌
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аӧځύঁވৎޑϩኧ࣬ӕޑݩΠǴќঁވৎޑϩኧΨ࣬ӕǶՠډ ΑӭΓၯᔍǴঁވৎϩኧ࣬ӕǴځᎩޑވৎϩኧࠅόۓ࣬ӕǶଷވৎ 4 ޑᗺ b ޑηᗺځॶϩձࢂ)4-2-7*ک)5-1-7*Ǵჹܭ၀ᗺǴٿঁޑॶ
ӕኬ٬ވৎ 4 Ԗ 7 ϩǴՠჹܭވৎ 2 کވৎ 3 ٰᇥ൩ԖৡΑǶ܌аӧѳᑽᗺ ӵՖࡷᒧᗺΨࢂߚதሡाࡘԵޑǶ!
ନΑཛྷ൨ᄽᆉݤޑόӕǴӭΓၯᔍᗋԖঁதрԶѸԵቾޑୢᚒǴ ൩ࢂόֹӄၗૻ)jnqfsgfdu!jogpsnbujpo*ǶӭΓၯᔍ္Ǵވৎѝૈޕၰ Ծρ܌ᏱԖޑจǴаϷᘚय़рၸޑจǴՠࢂჹЋᏱԖࣗሶจࢂคݤளޕޑǴ
ٗሶ܌ᒏޑཛྷ൨ᄽᆉݤǴ༈ѸΞѸ٤࣬ჹᔈޑ׳ׯǶ٬Ҕ Npouf!Dbsmp
ኳᔕۯ՜ෳჹЋจಔࢂঁᗋόᒱޑБݤ\5^Ƕ!
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ಃΟകʳ εԴΒޑވݤᆶೕ߾!
ҁകஒϟಏӭΓኔլจၯᔍ.εԴΒޑވݤǶ!
२Ӄވৎ೯தࢂ 3.5 ΓǴஒୋኔլจ 63 จѳ֡ϩଛ๏ঁΓǴջё
ྗഢ໒ۈၯᔍǶ!
ၯᔍޑވݤ;!
२Ӄ໒ֽҗԖఘ 4 ޑވৎॄೢрจǴдёаவЋύѺрൂ܈ҺՖ จಔǴՠۓளх֖ఘ 4ǶӧдϐࡕޑވৎǴѸၟрӕኬจࠠ٠ЪКд ޑจεޑจಔǶऩࢂдคݤрКҞрจεޑจಔǴ܈ࢂόགྷрจǴ߾ qbtt ඤΠঁވৎǶऩࢂঁΓрจࡕǴځдΟৎ)ଷࢂѤΓ*ऩࢂ qbttǴ߾
дёа،ۓௗाрՖᅿᜪࠠޑจಔǴவдЋύѺр၀จಔǴԶځдΓѸ
ၟрӕኬจࠠޑจǶӵԜ٩ׇ፺ࢬрจǴޔډԖΓஒЋύޑจӄѺрѐ ջࣁയճǶ!
จޑελ;!!
ՅࣁਲɧआЈɧБ༧ɧఘ!
ᗺኧ!3ɧBɧLɧRɧǾɧ4!!!
ၯᔍޑจࠠ;!
ϩࣁൂǵჹǵϖଫޑਸจࠠ!
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x ൂȐTjohmfȑǺҺՖଫЋύޑจǴрจਔѸεܭৎрޑଫจǶ ٯӵǴB КBǴB ΞεܭLǵR ǴаԜᜪǶ!!
x ჹȐQbjsȑǺҺՖٿଫӕኧӷ܈ӷ҆ޑจǴрจਔၟൂଫኬǴѸ
εܭৎрޑจǶٯӵBB ࢂεܭLLǶᗺኧ࣬ӕਔǴКၨၨεޑՅǶ!!
ϖจಔӝ-!ભձҗեԿଯϩձࣁǺ!
x ηȐTusbjhiuȑǺҺՖϖଫจೱុׇՠόӕǴࢂϖᅿύനեભձ ޑǶԖӭᅿीᆉελޑБݤǴѠதـޑԖǺB.3.4.5.6 բനλǴനεޑ߾
ࢂ 3.4.5.6.7Ƕόёр K.R.L.B.3ǵR.L.B.3.4ǵL.B.3.4.5Ƕ!!
x မᝳȐGvmm!IpvtfȑǺΟచуჹǶаΟచ௨ελǴȨჹȩჹܭભ
ࢂคቹៜޑǴٯӵ L.L.L.3.3 ک L.L.L.4.4 ӧભࢂ๊ჹኬޑǴόၸԜ
ݩόёૈрȐӢࣁจύόԖ 7 ࣬ӕޑȑǶ!!
x ៓ЍȐGpvs!pg!b!LjoeȑǺѤଫኧӷኬޑӆуҺՖଫจǶၟမᝳ
ኬǴಃϖଫจჹભࢂడคբҔޑǶඤѡ၉ᇥǴ5.5.5.5.4 ࢂεܭ 4.4.4.4.L ޑǶ!
x ӕȐTusbjhiu!GmvtiȑǺϖᅿύനமεޑಔӝǶѬ่ӝΑӕک
ޑ܄ǴΨ൩ࢂᇥϖଫೱុޑจǴԶϖଫࢂӕᅿǶനமޑӕࢂ!
3.4.5.6.7Ƕ!!
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x చᓪ!Ψ൩ࢂЋύ 24 จֹӄؒԖख़ፄǶόၸԜᅿಔӝᐒߚதեǶ!!
рจਔǴѸ٩ྣৎѺрޑจࠠрӕኬᜪࠠޑจǴൂ൩ൂǴჹ൩
ჹǴη൩ηǴမᝳ൩မᝳǶ៓ЍǵӕǵచᓪᆀϐȨ܁ނȩǴӧ ҺՖਔংࣣёрจǶऩࢂৎрΑ៓ЍǵӕǴ߾գѝૈрКдεޑ៓Ѝ܈
ӕ)qt/ӕёаᓸ៓Ѝ*Ǵచᓪ߾၀ވৎςрֹจޔௗയճǶ!
!
ीϩБԄ;! !
ԖΓрֹจਔǴ߾ځᎩΟৎΓԖЋจᆉ 2 ϩǴᕴکуډគޑވ ৎޑᑈϩ္Ƕٯ;ވৎрֹจǴވৎΒᗋԖ 4 จǵވৎΟᗋԖ 7 จǵވ ৎѤᗋԖ 3 จǴ߾ވৎள 22 ϩǵވৎΒ! .4 ϩǵވৎΟ! .7 ϩǵވৎѤ .3 ϩǶ!
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ಃѤകʳ ჴᡍᆶኧᏵ!
ௗᇥܴჴᡍޑᆶኧᏵ!
ᜢܭႝတޑΓπඵችǴӧԜΑٿᅿႝတǴϩࣁ Uzqf!B ک Uzqf!CǶ!
Uzqf!BǴࢂᙁൂޑೕ߾ϯႝတǴځрจޑೕ߾൩ࢂԖจૈр൩рǴόԵቾ ߥ੮Ћύޑεจ܈จࠠǶᕴϐ൩ࢂόគจǴѝעจޑኧໆ෧ԿനϿǶԜᅿ
ႝတஒࣁکќᅿႝတ࣬Кޑ୷ྗǶ!
Uzqf!CǴࢂ٬ҔnbyoᄽᆉݤޑႝတǶӧԜךॺଷךॺޕၰ܌ԖჹЋޑจǴ ӵԜٰךॺωૈ٬Ҕཛྷ൨ղᘐ҂ٰޑֽ༈وӛԶόࢂଷǶࡽฅࢂཛྷ൨ٗ
ฅΨሡाቩֽڄኧٰղᘐֽ༈ޑϩኧǴεठਥᏵ܌ഭЋจኧҞکεจ ኧҞکਸจٰࠠीᆉᕴϩǶԜѦሡाঁനεుࡋޑୖኧǴځཀကࢂࡰ۳Π ཛྷ൨ډಃoԛވৎрจ)qbttΨᆉрจ*Ǵ൩ଶЗཛྷ൨ӣϩኧǶ!
จֽ٬Ҕί࣬ӕኧౢғޑ࣬ӕจֽǶ!
߄ࢂѤঁႝတࣣ٬Ҕ Uzqf!B ޑКᖻޑ่݀!
߄!2 Ѥঁ Uzqf!B ႝတޑКᖻ่݀Ƕ!
! ႝတ! ႝတΒ! ႝတΟ! ႝတѤ!
ϩኧ! .455! 33! 357! .235!
യ! 352! 361! 371! 35:!
!
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җ߄ύёа࣮рѤঁႝတ۶ԜയࢂৡόӭޑǴ߄Ңയॄᔈ၀ֹӄࢂ
ЋจޑӳᚯԶۓǶ!
߄ΒࢂஒಃѤৎႝတ٬ҔUzqf!C!ǴځᎩႝတ٬ҔUzqf!BޑКᖻޑ่݀Ƕ)ࡕ य़ࡴဦࡕޑኧӷ߄Ң٬Ҕnbyo!ਔཛྷ൨ޑനεుࡋǶ*!
!
߄!3 Οঁ Uzqf!B کঁ Uzqf!C)ཛྷ൨ుࡋ 7*ႝတޑКᖻ่݀Ƕ!
! ႝတ! ႝတΒ! ႝတΟ! ႝတѤ)7*!
ϩኧ! .:65! .319! .61! 2323!
യ! 324! 339! 362! 419!
!
җ߄ύёа࣮рǴӧӕኬޑίύǴႝတѤޑയၟϩኧࣣε൯ගϲǴ ёளޕUzqf!Cޑႝတᔈ၀КUzqf!BޑமࡋଯӭǶՠऩाӢԜղۓnbyoᄽᆉݤ ൩ࢂКද೯٬Ҕڰۓೕ߾ޑႝတٰளமǴΨقϐၸԐǴӢࣁךॺځჴᗋёаӧ
ೕ߾ϯႝတӭуΕӭೕ߾ٰ٬ளѬᡂமǴѝࢂ٬ำԄ׳ፄᚇᕷᅥᜤа
ှǴӧፓׯؼΨКnbyoٰள֚ᜤ٤Ƕ!
ќѦࣁჴᡍኧᏵޑКၨǴךॺමעႝတѤ Uzqf!C ޑుࡋፓଯ܈ፓեǴ ՠว่݀ؒԖׯᡂǴᔈ၀ࢂቩֽڄኧਔԵቾډߥ੮εจϷจࠠǴؒԖ Եቾډрจਔऩࢂځдވৎᇂၸޑࡕ݀Ǵ܌а߄Ңځдވৎޑрจόϼቹ ៜԾρޑрจǶӵԜٰǴ՟ЯΨ൩ѨѐΑཛྷ൨ځдވৎрจޑཀကǶ
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!
ಃϖകʳ !่ፕ!
ҁԛჴᡍύǴךॺวѝाᙁൂޑቩֽڄኧჹ܌Ԗёарޑจϩኧ ޑཛྷ൨ٰ،ۓౣǴځਏ݀ջёКද೯ೕ߾ϯޑႝတޑமࡋӳӭǶ!
Կܭӵ݀ा׳ుቫޑཛྷ൨ǴхࡴղᘐჹЋр٤ࣗሶจǴٰ،ۓԾρा
рࣗሶจǴ߾ቩֽڄኧ൩ᡂளΜϩፄᚇǴሡा׳ፄᚇޑղᘐǶԜѦᗺޑ ᕭ෧Ψஒ׳уख़ाǴӢࣁཛྷ൨ளຫుǴᗺޑᘉቚஒКભኧޑቚуǴ٬ཛྷ ൨ਔ໔ᛈቚǶ!
҂ٰޑࣴزନΑёа׳ుΕޑ׳ଯભፄᚇޑೕ߾ϯႝတBJکnbyoᄽ ᆉݤޑႝတBJϐѦǴΨёа၂уΕჹЋኳಔǴᙖҗமϯᏢಞр׳ӳޑղ ᘐǶNpouf.Dbsmpޑኳᔕ،ཛྷ൨Ψёа၂ჴрٰǴЀځӧόֹӄၗૻޑ ၯᔍ္ѬԖѬᐱޑᓬᗺǶ!
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ୖԵЎ
[1] B. Bouzy and B. Helmstetter. Monte-Carlo Go Developments. Advances in Computer Games, Many Games, Many Challenges, 10th International Conference ACG2003 , Graz, Austria, 2003.
[2] David Carmel and Shaul Markovitch. Learning and Using Opponent Models in Adversary Search. 1996.
[3] Guillaume M. J. B. Chaslot, Mark H. M. Winands, and H. Jaap van den Herik.
Parallel Monte-Carlo Tree Search. Computers and Games: 6th International Conference, CG 2008.
[4] Matthew L. Ginsberg. GIB: Imperfect Information in a Computationally Challenging Game. Journal of Artificial Intelligence Research, 14:303–358, 2001.
[5] D. E. Knuth and R. W. Moore. An Analysis of Alpha-Beta Pruning. Artificial Intelligence, 6:293–326, 1975.
[6] Richard E. Korf. Multi-Player Alpha-Beta Pruning. Artificial Intelligence, 49:99–111, 1991.
[7] Valavan Manohararajah. Parallel Alpha-Beta Search on Shared Memory Multiprocessors. Master’s thesis, Graduate Department of Electrical and Computer Engineering, University of Toronto, Canada, 2001.
[8] C. E. Shannon. Programming a Computer for Playing Chess. Philosophical Magazine, 41(314):256–275, 1950.
[9] Nathan Sturtevant. Current Challenges in Multi-Player Game Search.
Computers and Games: 4th International Conference, CG 2004.
[10] Matthew R. Wahab. A Reinforcement Learning Agent for 1-Card Poker. 2004.