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最初の原則から協同戦略の進化
Mikhail Burtsev1, Peter Turchin
1Department of Non-linear Dynamics, Keldysh Institute of Applied Mathematics of RAS, Moscow 125047, Russia. mbur@narod.ru
Nature
|April 21, 2006
まとめ
協力的行動は,エージェントが他者の外部マーカーを認識できるシミュレーションで進化することができます. この研究は,複雑な戦略をモデル化し,協力が単純なルールと進化から生じることを示しています.
科学分野:
- 進化生物学の進化生物学について
- 社会科学 社会科学とは
- ゲーム理論はゲーム理論である.
背景:
- 協同行動の進化を理解することは,生物学と社会科学における大きな課題です.
- 現存する理論には,親族選択,相互性,多層選択などがある.
- ゲーム理論,特にエージェントベースのシミュレーションは,協力関係を分析するための重要なツールです.
研究 の 目的:
- 進化的ゲーム理論を,より複雑なモデルでテストする.
- 基本的な行動とニューラルネットワークから協同戦略の出現を探求する.
- 協力が発展できる条件を調査する.
主な方法:
- 限られた受容体と基本的な作用を持つエージェントを使ったコンピューターモデルを開発した.
- 進化は,これらの構成要素を事前に決定するのではなく,これらの構成要素から戦略を構築することを許可しました.
- 新興行動戦略を観察するために,シミュレートされた相互作用.
主要な成果:
- このモデルは,鳩,鷹,ブルジョアなどのよく知られた戦略を成功裏に進化させた.
- シミュレーションから2つの新しい協同戦略,協同攻撃と防衛が生まれました.
- 協力的戦略は,エージェントが遺伝的外部マーカーを認識できる最小限の仮定のもとで進化した.
結論:
- 協力的な行動は,単純なエージェント構造と学習能力さえも進化することができます.
- 外部マーカーを認識する能力は,協力の進化に不可欠です.
- このモデルは,協力に関するゲーム理論的な説明のより厳格なテストを提供します.
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