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PDFファイル 3A3 「マルチエージェントにおける計画・学習」

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表 1: ロバストな提携構造形成問題の例. 特性関数 利得 特性関数 利得 v({a 1 }) 5 v({a 1 , a 2 }) 9 v({a 2 }) 3 v({a 1 , a 3 }) 6 v({a 3 }) 4 v({a 2 , a 3 }) 6 v({a 1 }, {a 2 }, {a 3 }) 12 v({a 1 , a 2 , a 3 }) 15 提携構造形成では,各エージェントはただ一つの提携にのみ 属し,複数の提携に同時に属することはない.提携構造 CS の 利得は,各提携の利得の総和 P

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