@prefix rdf: . @prefix dbr: . @prefix yago: . dbr:Stag_hunt rdf:type yago:PhysicalEntity100001930 , yago:Whole100003553 , yago:Object100002684 . @prefix dbo: . dbr:Stag_hunt rdf:type dbo:VideoGame , yago:Creation103129123 , yago:Product104007894 , yago:EndProduct103287178 , yago:Oeuvre103841417 , yago:WikicatWorksByJean-JacquesRousseau , yago:Artifact100021939 . @prefix rdfs: . dbr:Stag_hunt rdfs:label "\u041F\u043E\u043B\u044E\u0432\u0430\u043D\u043D\u044F \u043D\u0430 \u043E\u043B\u0435\u043D\u044F"@uk , "\u041E\u0445\u043E\u0442\u0430 \u043D\u0430 \u043E\u043B\u0435\u043D\u044F"@ru , "Caccia al cervo (matematica)"@it , "Caza del ciervo"@es , "\u7375\u9E7F\u8CFD\u5C40"@zh , "Hirschjagd"@de , "\u30B9\u30BF\u30B0\u30CF\u30F3\u30C8\u30B2\u30FC\u30E0"@ja , "\uC0AC\uC2B4 \uC0AC\uB0E5 \uAC8C\uC784"@ko , "Stag hunt"@en , "Chasse au cerf (jeu)"@fr , "Ca\u00E7a del c\u00E9rvol"@ca ; rdfs:comment "\u041E\u0445\u043E\u0442\u0430 \u043D\u0430 \u043E\u043B\u0435\u043D\u044F \u2014 \u043A\u043E\u043E\u043F\u0435\u0440\u0430\u0442\u0438\u0432\u043D\u0430\u044F \u0438\u0437 \u0442\u0435\u043E\u0440\u0438\u0438 \u0438\u0433\u0440, \u043E\u043F\u0438\u0441\u044B\u0432\u0430\u044E\u0449\u0430\u044F \u043A\u043E\u043D\u0444\u043B\u0438\u043A\u0442 \u043C\u0435\u0436\u0434\u0443 \u043B\u0438\u0447\u043D\u044B\u043C\u0438 \u0438\u043D\u0442\u0435\u0440\u0435\u0441\u0430\u043C\u0438 \u0438 \u043E\u0431\u0449\u0435\u0441\u0442\u0432\u0435\u043D\u043D\u044B\u043C\u0438 \u0438\u043D\u0442\u0435\u0440\u0435\u0441\u0430\u043C\u0438. \u0418\u0433\u0440\u0430 \u0431\u044B\u043B\u0430 \u0432\u043F\u0435\u0440\u0432\u044B\u0435 \u043E\u043F\u0438\u0441\u0430\u043D\u0430 \u0416\u0430\u043D-\u0416\u0430\u043A\u043E\u043C \u0420\u0443\u0441\u0441\u043E \u0432 1755 \u0433\u043E\u0434\u0443: \u0415\u0441\u043B\u0438 \u043E\u0445\u043E\u0442\u0438\u043B\u0438\u0441\u044C \u043D\u0430 \u043E\u043B\u0435\u043D\u044F, \u0442\u043E \u043A\u0430\u0436\u0434\u044B\u0439 \u043F\u043E\u043D\u0438\u043C\u0430\u043B, \u0447\u0442\u043E \u0434\u043B\u044F \u044D\u0442\u043E\u0433\u043E \u043E\u043D \u043E\u0431\u044F\u0437\u0430\u043D \u043E\u0441\u0442\u0430\u0432\u0430\u0442\u044C\u0441\u044F \u043D\u0430 \u0441\u0432\u043E\u0435\u043C \u043F\u043E\u0441\u0442\u0443; \u043D\u043E \u0435\u0441\u043B\u0438 \u0432\u0431\u043B\u0438\u0437\u0438 \u043A\u043E\u0433\u043E-\u043B\u0438\u0431\u043E \u0438\u0437 \u043E\u0445\u043E\u0442\u043D\u0438\u043A\u043E\u0432 \u043F\u0440\u043E\u0431\u0435\u0433\u0430\u043B \u0437\u0430\u044F\u0446, \u0442\u043E \u043D\u0435 \u043F\u0440\u0438\u0445\u043E\u0434\u0438\u043B\u043E\u0441\u044C \u0441\u043E\u043C\u043D\u0435\u0432\u0430\u0442\u044C\u0441\u044F, \u0447\u0442\u043E \u044D\u0442\u043E\u0442 \u043E\u0445\u043E\u0442\u043D\u0438\u043A \u0431\u0435\u0437 \u0437\u0430\u0437\u0440\u0435\u043D\u0438\u044F \u0441\u043E\u0432\u0435\u0441\u0442\u0438 \u043F\u0443\u0441\u0442\u0438\u0442\u0441\u044F \u0437\u0430 \u043D\u0438\u043C \u0432\u0434\u043E\u0433\u043E\u043D\u043A\u0443 \u0438, \u043D\u0430\u0441\u0442\u0438\u0433\u043D\u0443\u0432 \u0434\u043E\u0431\u044B\u0447\u0443, \u0432\u0435\u0441\u044C\u043C\u0430 \u043C\u0430\u043B\u043E \u0431\u0443\u0434\u0435\u0442 \u0441\u043E\u043A\u0440\u0443\u0448\u0430\u0442\u044C\u0441\u044F \u043E \u0442\u043E\u043C, \u0447\u0442\u043E \u0442\u0430\u043A\u0438\u043C \u043E\u0431\u0440\u0430\u0437\u043E\u043C \u043B\u0438\u0448\u0438\u043B \u0434\u043E\u0431\u044B\u0447\u0438 \u0441\u0432\u043E\u0438\u0445 \u0442\u043E\u0432\u0430\u0440\u0438\u0449\u0435\u0439."@ru , "\uC0AC\uC2B4 \uC0AC\uB0E5 \uAC8C\uC784(stag hunt game)\uC740 \uC7A5 \uC790\uD06C \uB8E8\uC18C\uC758 \uC774\uC57C\uAE30\uB97C \uB530\uC11C \uB9CC\uB4E4\uC5B4\uC9C4 \uAC8C\uC784\uC73C\uB85C \u2018\uC548\uC804\u2019\uACFC \u2018\uC0AC\uD68C\uC801 \uD611\uB825\u2019 \uC0AC\uC774\uC758 \uAC08\uB4F1 \uAD00\uACC4\uB97C \uC124\uBA85\uD558\uB294 \uB9D0\uC774\uB2E4. \uC774 \uC774\uC57C\uAE30\uC5D0\uC11C\uB294 \uB450 \uBA85\uC758 \uC0AC\uB0E5\uAFBC\uC740 \uAC01\uAC01 \uD1A0\uB07C\uB098 \uC0AC\uC2B4\uC744 \uC7A1\uC744 \uC218 \uC788\uB2E4. \uAC01 \uAC8C\uC784\uC790\uB294 \uC0C1\uB300\uD3B8\uC758 \uC120\uD0DD\uC744 \uC54C\uC9C0 \uBABB\uD558\uACE0, \uD558\uB098\uC758 \uD589\uB3D9\uB9CC \uC120\uD0DD\uD574\uC57C \uD55C\uB2E4. \uB9CC\uC57D \uD55C \uC0AC\uB78C\uC774 \uC0AC\uC2B4\uC744 \uC7A1\uACE0\uC790 \uD55C\uB2E4\uBA74, \uADF8\uB294 \uC131\uACF5\uB960\uC744 \uB192\uC774\uAE30 \uC704\uD574 \uD30C\uD2B8\uB108\uC640 \uD611\uB825\uC744 \uD574\uC57C \uD55C\uB2E4. \uD1A0\uB07C\uB294 \uD640\uB85C \uC0AC\uB0E5\uD560 \uC218 \uC788\uC9C0\uB9CC, \uD1A0\uB07C\uB294 \uC0AC\uC2B4\uBCF4\uB2E4 \uAC00\uCE58\uAC00 \uB5A8\uC5B4\uC9C4\uB2E4. \uC774\uAC83\uC740 \uC0AC\uD68C\uC801 \uD611\uB825\uC758 \uC911\uC694\uD55C \uD544\uC694\uC131\uC744 \uAC00\uC838\uC624\uAC8C \uB41C\uB2E4. \uC0AC\uC2B4 \uC0AC\uB0E5\uC740 \uAC8C\uC784\uC790\uAC00 \uAC01\uAC01 \uD611\uB825\uD558\uACE0, \uAC01\uAC01 \uBCC0\uC808\uD558\uB294 \uB450 \uAC1C\uC758 \u2018\uB0B4\uC2DC \uADE0\uD615\u2019\uC744 \uC774\uB8E8\uACE0 \uC788\uB2E4\uB294 \uC810\uC5D0\uC11C \u2018\uC8C4\uC218\uC758 \uB51C\uB808\uB9C8\u2019\uC640 \uB2E4\uB974\uB2E4. \uADF8\uB7EC\uB098 \uC8C4\uC218\uC758 \uB51C\uB808\uB9C8\uC5D0\uC11C\uB294 \uD30C\uB808\uD1A0 \uD6A8\uC728\uC744 \uAC00\uC9C0\uACE0 \uC788\uC74C\uC5D0\uB3C4 \uBD88\uAD6C\uD558\uACE0, \uB450 \uAC8C\uC784\uC790\uAC00 \uBCC0\uC808\uD560\uB54C\uB294 \uD558\uB098\uC758 \uB0B4\uC2DC \uADE0\uD615\uB9CC \uAC00\uC9C4\uB2E4."@ko , "\u7375\u9E7F\u8CFD\u5C40\uFF08\u82F1\u8A9E\uFF1Astag hunt\uFF09\u662F\u4E00\u7A2E\u63CF\u8FF0\u5B89\u5168\u8207\u793E\u6703\u5408\u4F5C\u4E4B\u9593\u7684\u885D\u7A81\u7684\u535A\u5F08\uFF0C\u53C8\u7A31\u4FDD\u8BC1\u578B\u535A\u5F08\uFF08assurance game\uFF09\u3001\u5354\u8ABF\u535A\u5F08\uFF08coordination game\uFF09\u3001\u4FE1\u4EFB\u56F0\u5883\uFF08trust dilemma\uFF09\uFF0C\u7531\u8BA9-\u96C5\u514B\u00B7\u5362\u68AD\u6240\u63CF\u8FF0\uFF0C\u662F\u4E00\u79CD\u975E\u96F6\u548C\u535A\u5F08\u3002\u5728\u8FD9\u4E00\u573A\u666F\u4E0B\uFF0C\u4E24\u540D\u730E\u4EBA\u4E00\u8D77\u53BB\u6253\u730E\uFF0C\u4ED6\u4EEC\u53EF\u4EE5\u730E\u53D6\u9E7F\uFF0C\u4E5F\u53EF\u4EE5\u730E\u53D6\u91CE\u5154\u3002\u9E7F\u9700\u8981\u4E24\u4E2A\u4EBA\u5408\u4F5C\u624D\u80FD\u83B7\u53D6\uFF0C\u91CE\u5154\u4E00\u4E2A\u4EBA\u5C31\u53EF\u730E\u5F97\uFF0C\u4F46\u730E\u9E7F\u6240\u5F97\u7684\u6536\u76CA\u5927\u4E8E\u730E\u91CE\u5154\u6240\u5F97\u7684\u6536\u76CA\u3002\u730E\u9E7F\u8D5B\u5C40\u548C\u56DA\u5F92\u56F0\u5883\u6700\u5927\u533A\u522B\u4E4B\u4E00\uFF0C\u5728\u4E8E\u5F53\u53CC\u65B9\u90FD\u4E0D\u5408\u4F5C\u65F6\u6240\u83B7\u5F97\u7684\u60E9\u7F5A\u76F8\u5BF9\u8F83\u5C0F\u3002"@zh , "\u30B9\u30BF\u30B0\u30CF\u30F3\u30C8\u30B2\u30FC\u30E0 (\u82F1: stag hunt game) \u306F\u30B2\u30FC\u30E0\u7406\u8AD6\u306B\u304A\u3051\u308B\u6982\u5FF5\u3067\u3001\u30B8\u30E3\u30F3\uFF1D\u30B8\u30E3\u30C3\u30AF\u30FB\u30EB\u30BD\u30FC\u306E\u7269\u8A9E\u300C\u9E7F\u72E9\u308A\u306E\u5BD3\u8A71\u300D\u306B\u3061\u306A\u3093\u3067\u547D\u540D\u3055\u308C\u305F\u3002"@ja , "En teor\u00EDa de juegos, la caza del ciervo es un juego que describe un conflicto entre seguridad y cooperaci\u00F3n social. Otros nombres para este juego o sus variantes son \"juego de la seguridad\", \"juego de coordinaci\u00F3n\" y \"dilema de la credibilidad\". Jean-Jacques Rousseau describi\u00F3 una situaci\u00F3n en la que dos individuos van a cazar. Cada uno elige cazar un ciervo o una liebre. Cada jugador debe elegir una acci\u00F3n sin conocer la del otro. Si un individuo caza un ciervo, debe cooperar con su compa\u00F1ero para tener \u00E9xito. Un jugador individual puede cazar una liebre por s\u00ED mismo, pero una liebre vale menos que un ciervo. Esta situaci\u00F3n se considera una analog\u00EDa importante con la cooperaci\u00F3n social."@es , "Dans la th\u00E9orie des jeux, la chasse au cerf est un jeu qui d\u00E9crit un conflit entre s\u00E9curit\u00E9 et coop\u00E9ration sociale. Ses autres noms incluent \"jeu d'assurance\", \"jeu de coordination\" et \"dilemme de confiance\". Jean-Jacques Rousseau a d\u00E9crit une situation dans laquelle deux individus partaient \u00E0 la chasse . Chacun peut choisir individuellement de chasser un cerf ou de chasser un li\u00E8vre . Chaque joueur doit choisir une action sans conna\u00EEtre le choix de l'autre. Si un individu chasse un cerf, il doit avoir la coop\u00E9ration de son partenaire pour r\u00E9ussir. Un individu peut obtenir un li\u00E8vre par lui-m\u00EAme, mais un li\u00E8vre vaut moins qu'un cerf. Cela a \u00E9t\u00E9 consid\u00E9r\u00E9 comme une analogie utile pour la coop\u00E9ration sociale, telle que les accords internationaux sur le changement climatique."@fr , "Die Hirschjagd ist eine Parabel, die auf Jean-Jacques Rousseau zur\u00FCckgeht und auch als Jagdpartie bekannt ist. Zudem stellt die Hirschjagd (engl. stag hunt bzw. assurance game), auch Versicherungsspiel genannt, eine grundlegende spieltheoretische Konstellation dar."@de , "\u041F\u043E\u043B\u044E\u0432\u0430\u043D\u043D\u044F \u043D\u0430 \u043E\u043B\u0435\u043D\u044F \u2014 \u043A\u043E\u043E\u043F\u0435\u0440\u0430\u0442\u0438\u0432\u043D\u0430 \u0441\u0438\u043C\u0435\u0442\u0440\u0438\u0447\u043D\u0430 \u0433\u0440\u0430 \u0437 \u0442\u0435\u043E\u0440\u0456\u0457 \u0456\u0433\u043E\u0440, \u0449\u043E \u043E\u043F\u0438\u0441\u0443\u0454 \u043A\u043E\u043D\u0444\u043B\u0456\u043A\u0442 \u043C\u0456\u0436 \u043E\u0441\u043E\u0431\u0438\u0441\u0442\u0438\u043C\u0438 \u0456\u043D\u0442\u0435\u0440\u0435\u0441\u0430\u043C\u0438 \u0442\u0430 \u0441\u0443\u0441\u043F\u0456\u043B\u044C\u043D\u0438\u043C\u0438 \u0456\u043D\u0442\u0435\u0440\u0435\u0441\u0430\u043C\u0438. \u0413\u0440\u0443 \u0432\u043F\u0435\u0440\u0448\u0435 \u043E\u043F\u0438\u0441\u0430\u0432 \u0416\u0430\u043D-\u0416\u0430\u043A \u0420\u0443\u0441\u0441\u043E 1755 \u0440\u043E\u043A\u0443: \u042F\u043A\u0449\u043E \u043F\u043E\u043B\u044E\u0432\u0430\u043B\u0438 \u043D\u0430 \u043E\u043B\u0435\u043D\u044F, \u0442\u043E \u043A\u043E\u0436\u0435\u043D \u0440\u043E\u0437\u0443\u043C\u0456\u0432, \u0449\u043E \u0434\u043B\u044F \u0446\u044C\u043E\u0433\u043E \u0432\u0456\u043D \u043C\u0430\u0454 \u0437\u0430\u043B\u0438\u0448\u0430\u0442\u0438\u0441\u044F \u043D\u0430 \u0441\u0432\u043E\u0454\u043C\u0443 \u043F\u043E\u0441\u0442\u0443; \u0430\u043B\u0435 \u044F\u043A\u0449\u043E \u043F\u043E\u0431\u043B\u0438\u0437\u0443 \u043A\u043E\u0433\u043E\u0441\u044C \u0456\u0437 \u043C\u0438\u0441\u043B\u0438\u0432\u0446\u0456\u0432 \u043F\u0440\u043E\u0431\u0456\u0433\u0430\u0432 \u0437\u0430\u0454\u0446\u044C, \u0442\u043E \u043D\u0435 \u0434\u043E\u0432\u043E\u0434\u0438\u043B\u043E\u0441\u044F \u0441\u0443\u043C\u043D\u0456\u0432\u0430\u0442\u0438\u0441\u044F, \u0449\u043E \u0446\u0435\u0439 \u043C\u0438\u0441\u043B\u0438\u0432\u0435\u0446\u044C \u0431\u0435\u0437 \u0434\u043E\u043A\u043E\u0440\u0456\u0432 \u0441\u0443\u043C\u043B\u0456\u043D\u043D\u044F \u043F\u0443\u0441\u0442\u0438\u0442\u044C\u0441\u044F \u0437\u0430 \u043D\u0438\u043C \u043D\u0430\u0432\u0437\u0434\u043E\u0433\u0456\u043D \u0456, \u043D\u0430\u0437\u0434\u043E\u0433\u043D\u0430\u0432\u0448\u0438 \u0437\u0434\u043E\u0431\u0438\u0447, \u0432\u0435\u043B\u044C\u043C\u0438 \u043C\u0430\u043B\u043E \u0431\u0443\u0434\u0435 \u0436\u0443\u0440\u0438\u0442\u0438\u0441\u044F \u043F\u0440\u043E \u0442\u0435, \u0449\u043E \u0442\u0430\u043A\u0438\u043C \u0447\u0438\u043D\u043E\u043C \u043F\u043E\u0437\u0431\u0430\u0432\u0438\u0432 \u0437\u0434\u043E\u0431\u0438\u0447\u0456 \u0441\u0432\u043E\u0457\u0445 \u0442\u043E\u0432\u0430\u0440\u0438\u0448\u0456\u0432.\u041E\u0440\u0438\u0433\u0456\u043D\u0430\u043B\u044C\u043D\u0438\u0439 \u0442\u0435\u043A\u0441\u0442 (\u0440\u043E\u0441.)\u0415\u0441\u043B\u0438 \u043E\u0445\u043E\u0442\u0438\u043B\u0438\u0441\u044C \u043D\u0430 \u043E\u043B\u0435\u043D\u044F, \u0442\u043E \u043A\u0430\u0436\u0434\u044B\u0439 \u043F\u043E\u043D\u0438\u043C\u0430\u043B, \u0447\u0442\u043E \u0434\u043B\u044F \u044D\u0442\u043E\u0433\u043E \u043E\u043D \u043E\u0431\u044F\u0437\u0430\u043D \u043E\u0441\u0442\u0430\u0432\u0430\u0442\u044C\u0441\u044F \u043D\u0430 \u0441\u0432\u043E\u0435\u043C \u043F\u043E\u0441\u0442\u0443; \u043D\u043E \u0435\u0441\u043B\u0438 \u0432\u0431\u043B\u0438\u0437\u0438 \u043A\u043E\u0433\u043E-\u043B\u0438\u0431\u043E \u0438\u0437 \u043E\u0445\u043E\u0442\u043D\u0438\u043A\u043E\u0432 \u043F\u0440\u043E\u0431\u0435\u0433\u0430\u043B \u0437\u0430\u044F\u0446, \u0442\u043E \u043D\u0435 \u043F\u0440\u0438\u0445\u043E\u0434\u0438\u043B\u043E\u0441\u044C \u0441\u043E\u043C\u043D\u0435\u0432\u0430\u0442\u044C\u0441\u044F, \u0447\u0442\u043E \u044D\u0442\u043E\u0442 \u043E\u0445\u043E\u0442\u043D\u0438\u043A \u0431\u0435\u0437 \u0437\u0430\u0437\u0440\u0435\u043D\u0438\u044F \u0441\u043E\u0432\u0435\u0441\u0442\u0438 \u043F\u0443\u0441\u0442\u0438\u0442\u0441\u044F \u0437\u0430 \u043D\u0438\u043C \u0432\u0434\u043E\u0433\u043E\u043D\u043A\u0443 \u0438, \u043D\u0430\u0441\u0442\u0438\u0433\u043D"@uk , "In game theory, the stag hunt, sometimes referred to as the assurance game, trust dilemma or common interest game, describes a conflict between safety and social cooperation. The stag hunt problem originated with philosopher Jean-Jacques Rousseau in his Discourse on Inequality. In Rousseau's telling, two hunters must decide separately, and without the other knowing, whether to hunt a stag or a hare. However, both hunters know the only way to successfully hunt a stag is with the other's help. One hunter can catch a hare alone with less effort and less time, but it is worth far less than a stag and has much less meat. Rousseau therefore posits it would be much better for each hunter, acting individually, to give up total autonomy and minimal risk, which brings only the small reward of the ha"@en , "La caccia al cervo, nella teoria dei giochi, \u00E8 un gioco, proposto per la prima volta da Jean-Jacques Rousseau, il cui scenario presenta due uomini che possono scegliere in una battuta di caccia se tentare la cattura di un cervo o di una lepre. La loro decisione dovr\u00E0 avvenire senza sapere la decisione altrui, e tenendo conto che per catturare un cervo occorre che entrambi decidano di scegliere quest'ultimo come obiettivo, mentre per la lepre \u00E8 sufficiente l'impegno di un solo uomo. Il gioco specifica inoltre che la lepre costituisce un premio meno soddisfacente rispetto al cervo, che costituisce un pasto migliore, anche se questo verr\u00E0 diviso tra i due cacciatori che hanno cooperato."@it , "En teoria de jocs, la ca\u00E7a del c\u00E9rvol \u00E9s un joc que descriu un conflicte entre seguretat i cooperaci\u00F3 social. Altres noms per a aquest joc o les seves variants s\u00F3n \"joc de la seguretat\", \"joc de coordinaci\u00F3\" i \"dilema de la credibilitat\". Jean-Jacques Rousseau va descriure una situaci\u00F3 en qu\u00E8 dos individus van a ca\u00E7ar. Cada un tria ca\u00E7ar un c\u00E9rvol o una llebre. Cada jugador ha de triar una acci\u00F3 sense con\u00E8ixer la de l'altre. Si un individu ca\u00E7a un c\u00E9rvol, ha de cooperar amb el seu company per tenir \u00E8xit. Un jugador individual pot ca\u00E7ar una llebre per si mateix, per\u00F2 una llebre val menys que un c\u00E9rvol. Aquesta situaci\u00F3 es considera una analogia important amb la cooperaci\u00F3 social."@ca . @prefix dbp: . dbr:Stag_hunt dbp:name "Fig. 2: Stag hunt example"@en , "Fig. 1: Generic symmetric stag hunt"@en , "Fig. 3: Prisoner's dilemma example"@en . @prefix foaf: . dbr:Stag_hunt foaf:depiction , . @prefix dcterms: . @prefix dbc: . dbr:Stag_hunt dcterms:subject dbc:Evolutionary_game_theory , dbc:Social_science_experiments , dbc:Non-cooperative_games ; dbo:wikiPageID 1563701 ; dbo:wikiPageRevisionID 1114639180 ; dbo:wikiPageWikiLink , , dbc:Non-cooperative_games , dbr:Pareto_efficient , , dbr:Slime_mold , dbr:Carousel_feeding , dbr:Jean-Jacques_Rousseau , dbr:Risk_dominant , dbr:Cooperation , dbr:Discourse_on_Inequality , dbr:Mutual_knowledge , dbc:Social_science_experiments , dbr:Stag , dbr:Expected_value , dbr:Orca , dbr:Best_response , dbr:Payoff_matrix , , dbr:Biology , dbr:David_Hume , dbr:Payoff_dominant , dbr:Game_theory , dbr:Social_contract , dbr:Hunting , dbr:Nash_equilibria , dbr:Pluralistic_ignorance , , dbr:Mixed_strategy , dbr:James_Cambias , dbr:Hare , dbr:Pure_strategy , dbc:Evolutionary_game_theory ; dbo:wikiPageExternalLink , . @prefix owl: . dbr:Stag_hunt owl:sameAs , . @prefix yago-res: . dbr:Stag_hunt owl:sameAs yago-res:Stag_hunt , . @prefix wikidata: . dbr:Stag_hunt owl:sameAs wikidata:Q1025469 , , , . @prefix dbpedia-es: . dbr:Stag_hunt owl:sameAs dbpedia-es:Caza_del_ciervo , , , , , , . @prefix dbpedia-de: . dbr:Stag_hunt owl:sameAs dbpedia-de:Hirschjagd , , ; dbp:ul 1010 , 22 , "a, a"@en ; dbp:ur "c, b"@en , 3 , 18 . @prefix dbt: . dbr:Stag_hunt dbp:wikiPageUsesTemplate dbt:Payoff_matrix , dbt:Technical , dbt:Cite_book , dbt:Refimprove , dbt:Reflist , dbt:About , dbt:Cite_speech , dbt:Multiple_issues , dbt:Original_research , dbt:Harvnb , dbt:Game_theory ; dbo:thumbnail ; dbo:abstract "La caccia al cervo, nella teoria dei giochi, \u00E8 un gioco, proposto per la prima volta da Jean-Jacques Rousseau, il cui scenario presenta due uomini che possono scegliere in una battuta di caccia se tentare la cattura di un cervo o di una lepre. La loro decisione dovr\u00E0 avvenire senza sapere la decisione altrui, e tenendo conto che per catturare un cervo occorre che entrambi decidano di scegliere quest'ultimo come obiettivo, mentre per la lepre \u00E8 sufficiente l'impegno di un solo uomo. Il gioco specifica inoltre che la lepre costituisce un premio meno soddisfacente rispetto al cervo, che costituisce un pasto migliore, anche se questo verr\u00E0 diviso tra i due cacciatori che hanno cooperato. Poich\u00E9 ogni cacciatore ignora quale sar\u00E0 la decisione dell'altro, si tratta di un gioco non cooperativo. Utilizzando strategie pure, l'unica soluzione di Equilibrio di Nash si trova sparando alla lepre. In tal modo, si evita il rischio di non ottenere nulla, che sarebbe il risultato nel caso si spari al cervo e l'altro giocatore alla lepre. Con un approccio a strategie miste, l'Equilibro di Nash consiste nello sparare al cervo con una probabilit\u00E0 del 75%, e alla lepre del 25%."@it , "Dans la th\u00E9orie des jeux, la chasse au cerf est un jeu qui d\u00E9crit un conflit entre s\u00E9curit\u00E9 et coop\u00E9ration sociale. Ses autres noms incluent \"jeu d'assurance\", \"jeu de coordination\" et \"dilemme de confiance\". Jean-Jacques Rousseau a d\u00E9crit une situation dans laquelle deux individus partaient \u00E0 la chasse . Chacun peut choisir individuellement de chasser un cerf ou de chasser un li\u00E8vre . Chaque joueur doit choisir une action sans conna\u00EEtre le choix de l'autre. Si un individu chasse un cerf, il doit avoir la coop\u00E9ration de son partenaire pour r\u00E9ussir. Un individu peut obtenir un li\u00E8vre par lui-m\u00EAme, mais un li\u00E8vre vaut moins qu'un cerf. Cela a \u00E9t\u00E9 consid\u00E9r\u00E9 comme une analogie utile pour la coop\u00E9ration sociale, telle que les accords internationaux sur le changement climatique. La chasse aux cerfs diff\u00E8re du dilemme du prisonnier en ce qu'il existe deux \u00E9quilibres de strat\u00E9gie purement Nash : lorsque les deux joueurs coop\u00E8rent et que les deux joueurs font d\u00E9faut. Dans le dilemme du prisonnier, en revanche, bien que les deux joueurs coop\u00E9rant soient efficaces selon Pareto, le seul \u00E9quilibre pur de Nash r\u00E9side dans le choix des deux joueurs de faire d\u00E9fection."@fr , "\u041F\u043E\u043B\u044E\u0432\u0430\u043D\u043D\u044F \u043D\u0430 \u043E\u043B\u0435\u043D\u044F \u2014 \u043A\u043E\u043E\u043F\u0435\u0440\u0430\u0442\u0438\u0432\u043D\u0430 \u0441\u0438\u043C\u0435\u0442\u0440\u0438\u0447\u043D\u0430 \u0433\u0440\u0430 \u0437 \u0442\u0435\u043E\u0440\u0456\u0457 \u0456\u0433\u043E\u0440, \u0449\u043E \u043E\u043F\u0438\u0441\u0443\u0454 \u043A\u043E\u043D\u0444\u043B\u0456\u043A\u0442 \u043C\u0456\u0436 \u043E\u0441\u043E\u0431\u0438\u0441\u0442\u0438\u043C\u0438 \u0456\u043D\u0442\u0435\u0440\u0435\u0441\u0430\u043C\u0438 \u0442\u0430 \u0441\u0443\u0441\u043F\u0456\u043B\u044C\u043D\u0438\u043C\u0438 \u0456\u043D\u0442\u0435\u0440\u0435\u0441\u0430\u043C\u0438. \u0413\u0440\u0443 \u0432\u043F\u0435\u0440\u0448\u0435 \u043E\u043F\u0438\u0441\u0430\u0432 \u0416\u0430\u043D-\u0416\u0430\u043A \u0420\u0443\u0441\u0441\u043E 1755 \u0440\u043E\u043A\u0443: \u042F\u043A\u0449\u043E \u043F\u043E\u043B\u044E\u0432\u0430\u043B\u0438 \u043D\u0430 \u043E\u043B\u0435\u043D\u044F, \u0442\u043E \u043A\u043E\u0436\u0435\u043D \u0440\u043E\u0437\u0443\u043C\u0456\u0432, \u0449\u043E \u0434\u043B\u044F \u0446\u044C\u043E\u0433\u043E \u0432\u0456\u043D \u043C\u0430\u0454 \u0437\u0430\u043B\u0438\u0448\u0430\u0442\u0438\u0441\u044F \u043D\u0430 \u0441\u0432\u043E\u0454\u043C\u0443 \u043F\u043E\u0441\u0442\u0443; 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\u043D\u043E \u0435\u0441\u043B\u0438 \u0432\u0431\u043B\u0438\u0437\u0438 \u043A\u043E\u0433\u043E-\u043B\u0438\u0431\u043E \u0438\u0437 \u043E\u0445\u043E\u0442\u043D\u0438\u043A\u043E\u0432 \u043F\u0440\u043E\u0431\u0435\u0433\u0430\u043B \u0437\u0430\u044F\u0446, \u0442\u043E \u043D\u0435 \u043F\u0440\u0438\u0445\u043E\u0434\u0438\u043B\u043E\u0441\u044C \u0441\u043E\u043C\u043D\u0435\u0432\u0430\u0442\u044C\u0441\u044F, \u0447\u0442\u043E \u044D\u0442\u043E\u0442 \u043E\u0445\u043E\u0442\u043D\u0438\u043A \u0431\u0435\u0437 \u0437\u0430\u0437\u0440\u0435\u043D\u0438\u044F \u0441\u043E\u0432\u0435\u0441\u0442\u0438 \u043F\u0443\u0441\u0442\u0438\u0442\u0441\u044F \u0437\u0430 \u043D\u0438\u043C \u0432\u0434\u043E\u0433\u043E\u043D\u043A\u0443 \u0438, \u043D\u0430\u0441\u0442\u0438\u0433\u043D\u0443\u0432 \u0434\u043E\u0431\u044B\u0447\u0443, \u0432\u0435\u0441\u044C\u043C\u0430 \u043C\u0430\u043B\u043E \u0431\u0443\u0434\u0435\u0442 \u0441\u043E\u043A\u0440\u0443\u0448\u0430\u0442\u044C\u0441\u044F \u043E \u0442\u043E\u043C, \u0447\u0442\u043E \u0442\u0430\u043A\u0438\u043C \u043E\u0431\u0440\u0430\u0437\u043E\u043C \u043B\u0438\u0448\u0438\u043B \u0434\u043E\u0431\u044B\u0447\u0438 \u0441\u0432\u043E\u0438\u0445 \u0442\u043E\u0432\u0430\u0440\u0438\u0449\u0435\u0439. \u2014 \u0416. \u0416. \u0420\u0443\u0441\u0441\u043E. \u0420\u0430\u0441\u0441\u0443\u0436\u0434\u0435\u043D\u0438\u0435 \u043E \u043F\u0440\u043E\u0438\u0441\u0445\u043E\u0436\u0434\u0435\u043D\u0438\u0438 \u0438 \u043E\u0441\u043D\u043E\u0432\u0430\u043D\u0438\u044F\u0445 \u043D\u0435\u0440\u0430\u0432\u0435\u043D\u0441\u0442\u0432\u0430 \u043C\u0435\u0436\u0434\u0443 \u043B\u044E\u0434\u044C\u043C\u0438 // \u0422\u0440\u0430\u043A\u0442\u0430\u0442\u044B / \u041F\u0435\u0440. \u0441 \u0444\u0440\u0430\u043D\u0446. \u0410. \u0425\u0430\u044E\u0442\u0438\u043D\u0430. \u2014 \u041C. : \u041D\u0430\u0443\u043A\u0430, 1969. \u2014 \u0421. 75."@uk , "\u7375\u9E7F\u8CFD\u5C40\uFF08\u82F1\u8A9E\uFF1Astag hunt\uFF09\u662F\u4E00\u7A2E\u63CF\u8FF0\u5B89\u5168\u8207\u793E\u6703\u5408\u4F5C\u4E4B\u9593\u7684\u885D\u7A81\u7684\u535A\u5F08\uFF0C\u53C8\u7A31\u4FDD\u8BC1\u578B\u535A\u5F08\uFF08assurance game\uFF09\u3001\u5354\u8ABF\u535A\u5F08\uFF08coordination game\uFF09\u3001\u4FE1\u4EFB\u56F0\u5883\uFF08trust dilemma\uFF09\uFF0C\u7531\u8BA9-\u96C5\u514B\u00B7\u5362\u68AD\u6240\u63CF\u8FF0\uFF0C\u662F\u4E00\u79CD\u975E\u96F6\u548C\u535A\u5F08\u3002\u5728\u8FD9\u4E00\u573A\u666F\u4E0B\uFF0C\u4E24\u540D\u730E\u4EBA\u4E00\u8D77\u53BB\u6253\u730E\uFF0C\u4ED6\u4EEC\u53EF\u4EE5\u730E\u53D6\u9E7F\uFF0C\u4E5F\u53EF\u4EE5\u730E\u53D6\u91CE\u5154\u3002\u9E7F\u9700\u8981\u4E24\u4E2A\u4EBA\u5408\u4F5C\u624D\u80FD\u83B7\u53D6\uFF0C\u91CE\u5154\u4E00\u4E2A\u4EBA\u5C31\u53EF\u730E\u5F97\uFF0C\u4F46\u730E\u9E7F\u6240\u5F97\u7684\u6536\u76CA\u5927\u4E8E\u730E\u91CE\u5154\u6240\u5F97\u7684\u6536\u76CA\u3002\u730E\u9E7F\u8D5B\u5C40\u548C\u56DA\u5F92\u56F0\u5883\u6700\u5927\u533A\u522B\u4E4B\u4E00\uFF0C\u5728\u4E8E\u5F53\u53CC\u65B9\u90FD\u4E0D\u5408\u4F5C\u65F6\u6240\u83B7\u5F97\u7684\u60E9\u7F5A\u76F8\u5BF9\u8F83\u5C0F\u3002"@zh , "Die Hirschjagd ist eine Parabel, die auf Jean-Jacques Rousseau zur\u00FCckgeht und auch als Jagdpartie bekannt ist. Zudem stellt die Hirschjagd (engl. stag hunt bzw. assurance game), auch Versicherungsspiel genannt, eine grundlegende spieltheoretische Konstellation dar. Rousseau behandelte diese im Sinne seiner Untersuchungen zur Bildung kollektiver Regeln unter den Widerspr\u00FCchen sozialen Handelns, dass also paradoxe Effekte zur Institutionalisierung des Zwanges (zur Kooperation) f\u00FChren, damit es nicht zum Vertragsbruch kommt. Die Situation beschreibt er wie folgt: Zwei J\u00E4ger gehen auf die Jagd, bei der bislang jeder alleine nur einen Hasen erlegen konnte. Nun versuchen sie sich abzusprechen, das hei\u00DFt, eine Vereinbarung zu treffen, um zusammen einen Hirsch erlegen zu k\u00F6nnen, welcher beiden mehr einbringt als ein einziger Hase. Auf der Pirsch entwickelt sich das Dilemma analog zum Gefangenendilemma: L\u00E4uft n\u00E4mlich w\u00E4hrend der Jagd einem der beiden J\u00E4ger ein Hase \u00FCber den Weg, muss er sich entscheiden, ob er jetzt den Hasen erlegt oder nicht. T\u00F6tet er den Hasen, so vergibt er die Gelegenheit auf das gemeinsame Erlegen eines Hirschs. Zugleich muss er dar\u00FCber sinnen, wie der andere handeln w\u00FCrde. Befindet sich jener n\u00E4mlich in gleicher Lage, dann besteht die Gefahr, dass der andere den Hasen erlegt und er letztendlich einen Verlust erleidet: weder einen Hasen noch anteilig einen Hirsch zu bekommen."@de , "\u30B9\u30BF\u30B0\u30CF\u30F3\u30C8\u30B2\u30FC\u30E0 (\u82F1: stag hunt game) \u306F\u30B2\u30FC\u30E0\u7406\u8AD6\u306B\u304A\u3051\u308B\u6982\u5FF5\u3067\u3001\u30B8\u30E3\u30F3\uFF1D\u30B8\u30E3\u30C3\u30AF\u30FB\u30EB\u30BD\u30FC\u306E\u7269\u8A9E\u300C\u9E7F\u72E9\u308A\u306E\u5BD3\u8A71\u300D\u306B\u3061\u306A\u3093\u3067\u547D\u540D\u3055\u308C\u305F\u3002"@ja , "En teor\u00EDa de juegos, la caza del ciervo es un juego que describe un conflicto entre seguridad y cooperaci\u00F3n social. Otros nombres para este juego o sus variantes son \"juego de la seguridad\", \"juego de coordinaci\u00F3n\" y \"dilema de la credibilidad\". Jean-Jacques Rousseau describi\u00F3 una situaci\u00F3n en la que dos individuos van a cazar. Cada uno elige cazar un ciervo o una liebre. Cada jugador debe elegir una acci\u00F3n sin conocer la del otro. Si un individuo caza un ciervo, debe cooperar con su compa\u00F1ero para tener \u00E9xito. Un jugador individual puede cazar una liebre por s\u00ED mismo, pero una liebre vale menos que un ciervo. Esta situaci\u00F3n se considera una analog\u00EDa importante con la cooperaci\u00F3n social. Un ejemplo de la matriz de recompensas para la caza del ciervo ser\u00EDa:"@es , "En teoria de jocs, la ca\u00E7a del c\u00E9rvol \u00E9s un joc que descriu un conflicte entre seguretat i cooperaci\u00F3 social. Altres noms per a aquest joc o les seves variants s\u00F3n \"joc de la seguretat\", \"joc de coordinaci\u00F3\" i \"dilema de la credibilitat\". Jean-Jacques Rousseau va descriure una situaci\u00F3 en qu\u00E8 dos individus van a ca\u00E7ar. Cada un tria ca\u00E7ar un c\u00E9rvol o una llebre. Cada jugador ha de triar una acci\u00F3 sense con\u00E8ixer la de l'altre. Si un individu ca\u00E7a un c\u00E9rvol, ha de cooperar amb el seu company per tenir \u00E8xit. Un jugador individual pot ca\u00E7ar una llebre per si mateix, per\u00F2 una llebre val menys que un c\u00E9rvol. Aquesta situaci\u00F3 es considera una analogia important amb la cooperaci\u00F3 social. Un exemple de la matriu de recompenses per a la ca\u00E7a del c\u00E9rvol seria:"@ca , "In game theory, the stag hunt, sometimes referred to as the assurance game, trust dilemma or common interest game, describes a conflict between safety and social cooperation. The stag hunt problem originated with philosopher Jean-Jacques Rousseau in his Discourse on Inequality. In Rousseau's telling, two hunters must decide separately, and without the other knowing, whether to hunt a stag or a hare. However, both hunters know the only way to successfully hunt a stag is with the other's help. One hunter can catch a hare alone with less effort and less time, but it is worth far less than a stag and has much less meat. Rousseau therefore posits it would be much better for each hunter, acting individually, to give up total autonomy and minimal risk, which brings only the small reward of the hare. Instead, each hunter should separately choose the more ambitious and far more rewarding goal of getting the stag, thereby giving up some autonomy in exchange for the other hunter's cooperation and added might. Commentators have seen the situation as a useful analogy for many kinds of social cooperation, such as international agreements on climate change. The stag hunt differs from the prisoner's dilemma in that there are two pure-strategy Nash equilibria: one where both players cooperate, and one where both players defect. In the Prisoner's Dilemma, in contrast, despite the fact that both players cooperating is Pareto efficient, the only pure Nash equilibrium is when both players choose to defect. An example of the payoff matrix for the stag hunt is pictured in Figure 2."@en , "\u041E\u0445\u043E\u0442\u0430 \u043D\u0430 \u043E\u043B\u0435\u043D\u044F \u2014 \u043A\u043E\u043E\u043F\u0435\u0440\u0430\u0442\u0438\u0432\u043D\u0430\u044F \u0438\u0437 \u0442\u0435\u043E\u0440\u0438\u0438 \u0438\u0433\u0440, \u043E\u043F\u0438\u0441\u044B\u0432\u0430\u044E\u0449\u0430\u044F \u043A\u043E\u043D\u0444\u043B\u0438\u043A\u0442 \u043C\u0435\u0436\u0434\u0443 \u043B\u0438\u0447\u043D\u044B\u043C\u0438 \u0438\u043D\u0442\u0435\u0440\u0435\u0441\u0430\u043C\u0438 \u0438 \u043E\u0431\u0449\u0435\u0441\u0442\u0432\u0435\u043D\u043D\u044B\u043C\u0438 \u0438\u043D\u0442\u0435\u0440\u0435\u0441\u0430\u043C\u0438. \u0418\u0433\u0440\u0430 \u0431\u044B\u043B\u0430 \u0432\u043F\u0435\u0440\u0432\u044B\u0435 \u043E\u043F\u0438\u0441\u0430\u043D\u0430 \u0416\u0430\u043D-\u0416\u0430\u043A\u043E\u043C \u0420\u0443\u0441\u0441\u043E \u0432 1755 \u0433\u043E\u0434\u0443: \u0415\u0441\u043B\u0438 \u043E\u0445\u043E\u0442\u0438\u043B\u0438\u0441\u044C \u043D\u0430 \u043E\u043B\u0435\u043D\u044F, \u0442\u043E \u043A\u0430\u0436\u0434\u044B\u0439 \u043F\u043E\u043D\u0438\u043C\u0430\u043B, \u0447\u0442\u043E \u0434\u043B\u044F \u044D\u0442\u043E\u0433\u043E \u043E\u043D \u043E\u0431\u044F\u0437\u0430\u043D \u043E\u0441\u0442\u0430\u0432\u0430\u0442\u044C\u0441\u044F \u043D\u0430 \u0441\u0432\u043E\u0435\u043C \u043F\u043E\u0441\u0442\u0443; \u043D\u043E \u0435\u0441\u043B\u0438 \u0432\u0431\u043B\u0438\u0437\u0438 \u043A\u043E\u0433\u043E-\u043B\u0438\u0431\u043E \u0438\u0437 \u043E\u0445\u043E\u0442\u043D\u0438\u043A\u043E\u0432 \u043F\u0440\u043E\u0431\u0435\u0433\u0430\u043B \u0437\u0430\u044F\u0446, \u0442\u043E \u043D\u0435 \u043F\u0440\u0438\u0445\u043E\u0434\u0438\u043B\u043E\u0441\u044C \u0441\u043E\u043C\u043D\u0435\u0432\u0430\u0442\u044C\u0441\u044F, \u0447\u0442\u043E \u044D\u0442\u043E\u0442 \u043E\u0445\u043E\u0442\u043D\u0438\u043A \u0431\u0435\u0437 \u0437\u0430\u0437\u0440\u0435\u043D\u0438\u044F \u0441\u043E\u0432\u0435\u0441\u0442\u0438 \u043F\u0443\u0441\u0442\u0438\u0442\u0441\u044F \u0437\u0430 \u043D\u0438\u043C \u0432\u0434\u043E\u0433\u043E\u043D\u043A\u0443 \u0438, \u043D\u0430\u0441\u0442\u0438\u0433\u043D\u0443\u0432 \u0434\u043E\u0431\u044B\u0447\u0443, \u0432\u0435\u0441\u044C\u043C\u0430 \u043C\u0430\u043B\u043E \u0431\u0443\u0434\u0435\u0442 \u0441\u043E\u043A\u0440\u0443\u0448\u0430\u0442\u044C\u0441\u044F \u043E \u0442\u043E\u043C, \u0447\u0442\u043E \u0442\u0430\u043A\u0438\u043C \u043E\u0431\u0440\u0430\u0437\u043E\u043C \u043B\u0438\u0448\u0438\u043B \u0434\u043E\u0431\u044B\u0447\u0438 \u0441\u0432\u043E\u0438\u0445 \u0442\u043E\u0432\u0430\u0440\u0438\u0449\u0435\u0439. \u2014 \u0416. \u0416. \u0420\u0443\u0441\u0441\u043E. \u0420\u0430\u0441\u0441\u0443\u0436\u0434\u0435\u043D\u0438\u0435 \u043E \u043F\u0440\u043E\u0438\u0441\u0445\u043E\u0436\u0434\u0435\u043D\u0438\u0438 \u0438 \u043E\u0441\u043D\u043E\u0432\u0430\u043D\u0438\u044F\u0445 \u043D\u0435\u0440\u0430\u0432\u0435\u043D\u0441\u0442\u0432\u0430 \u043C\u0435\u0436\u0434\u0443 \u043B\u044E\u0434\u044C\u043C\u0438 // \u0422\u0440\u0430\u043A\u0442\u0430\u0442\u044B / \u041F\u0435\u0440. \u0441 \u0444\u0440\u0430\u043D\u0446. \u0410. \u0425\u0430\u044E\u0442\u0438\u043D\u0430. \u2014 \u041C.: \u041D\u0430\u0443\u043A\u0430, 1969. \u2014 \u0421. 75."@ru , "\uC0AC\uC2B4 \uC0AC\uB0E5 \uAC8C\uC784(stag hunt game)\uC740 \uC7A5 \uC790\uD06C \uB8E8\uC18C\uC758 \uC774\uC57C\uAE30\uB97C \uB530\uC11C \uB9CC\uB4E4\uC5B4\uC9C4 \uAC8C\uC784\uC73C\uB85C \u2018\uC548\uC804\u2019\uACFC \u2018\uC0AC\uD68C\uC801 \uD611\uB825\u2019 \uC0AC\uC774\uC758 \uAC08\uB4F1 \uAD00\uACC4\uB97C \uC124\uBA85\uD558\uB294 \uB9D0\uC774\uB2E4. \uC774 \uC774\uC57C\uAE30\uC5D0\uC11C\uB294 \uB450 \uBA85\uC758 \uC0AC\uB0E5\uAFBC\uC740 \uAC01\uAC01 \uD1A0\uB07C\uB098 \uC0AC\uC2B4\uC744 \uC7A1\uC744 \uC218 \uC788\uB2E4. \uAC01 \uAC8C\uC784\uC790\uB294 \uC0C1\uB300\uD3B8\uC758 \uC120\uD0DD\uC744 \uC54C\uC9C0 \uBABB\uD558\uACE0, \uD558\uB098\uC758 \uD589\uB3D9\uB9CC \uC120\uD0DD\uD574\uC57C \uD55C\uB2E4. \uB9CC\uC57D \uD55C \uC0AC\uB78C\uC774 \uC0AC\uC2B4\uC744 \uC7A1\uACE0\uC790 \uD55C\uB2E4\uBA74, \uADF8\uB294 \uC131\uACF5\uB960\uC744 \uB192\uC774\uAE30 \uC704\uD574 \uD30C\uD2B8\uB108\uC640 \uD611\uB825\uC744 \uD574\uC57C \uD55C\uB2E4. \uD1A0\uB07C\uB294 \uD640\uB85C \uC0AC\uB0E5\uD560 \uC218 \uC788\uC9C0\uB9CC, \uD1A0\uB07C\uB294 \uC0AC\uC2B4\uBCF4\uB2E4 \uAC00\uCE58\uAC00 \uB5A8\uC5B4\uC9C4\uB2E4. \uC774\uAC83\uC740 \uC0AC\uD68C\uC801 \uD611\uB825\uC758 \uC911\uC694\uD55C \uD544\uC694\uC131\uC744 \uAC00\uC838\uC624\uAC8C \uB41C\uB2E4. \uC0AC\uC2B4 \uC0AC\uB0E5\uC740 \uAC8C\uC784\uC790\uAC00 \uAC01\uAC01 \uD611\uB825\uD558\uACE0, \uAC01\uAC01 \uBCC0\uC808\uD558\uB294 \uB450 \uAC1C\uC758 \u2018\uB0B4\uC2DC \uADE0\uD615\u2019\uC744 \uC774\uB8E8\uACE0 \uC788\uB2E4\uB294 \uC810\uC5D0\uC11C \u2018\uC8C4\uC218\uC758 \uB51C\uB808\uB9C8\u2019\uC640 \uB2E4\uB974\uB2E4. \uADF8\uB7EC\uB098 \uC8C4\uC218\uC758 \uB51C\uB808\uB9C8\uC5D0\uC11C\uB294 \uD30C\uB808\uD1A0 \uD6A8\uC728\uC744 \uAC00\uC9C0\uACE0 \uC788\uC74C\uC5D0\uB3C4 \uBD88\uAD6C\uD558\uACE0, \uB450 \uAC8C\uC784\uC790\uAC00 \uBCC0\uC808\uD560\uB54C\uB294 \uD558\uB098\uC758 \uB0B4\uC2DC \uADE0\uD615\uB9CC \uAC00\uC9C4\uB2E4."@ko ; "Defect"@en , "Hare"@en ; "Stag"@en , "Cooperate"@en ; "Stag"@en , "Cooperate"@en ; "Hare"@en , "Defect"@en ; dbp:dl 81 , "b, c"@en , 30 ; dbp:dr 11 , "d, d"@en , 55 . @prefix gold: . dbr:Stag_hunt gold:hypernym dbr:Game . @prefix prov: . dbr:Stag_hunt prov:wasDerivedFrom . @prefix xsd: . dbr:Stag_hunt dbo:wikiPageLength "10173"^^xsd:nonNegativeInteger . @prefix wikipedia-en: . dbr:Stag_hunt foaf:isPrimaryTopicOf wikipedia-en:Stag_hunt .