進化は,高い将来の利益を持つ連続的な相互作用において,ポジティブバイアスな推論を好む

Marco Saponara¹, Elias Fernández Domingos^1,2, Jorge M Pacheco^3,4

¹Machine Learning Group, Université Libre de Bruxelles, Campus de la Plaine, Brussels, Belgium.

Journal of the Royal Society, Interface

|August 27, 2025

まとめ

人間の行動はしばしば理性的な期待から逸脱しますこの研究は進化的ゲーム理論がポジティブバイアスの推論を好むことを示し合理的な行動の消滅につながり適応戦略として認知バイアスを強調しています

科学分野:

進化のゲーム理論
認知科学
行動経済学

背景:

経験的な証拠は人間の行動がゲーム理論の合理性から頻繁に逸脱していることを示しています
人類は将来的な結果について非現実的な期待を示しますが,これらのバイアスの進化的根拠はよく理解されていません.

研究の目的:

推論能力と認知バイアスの共進化を調査する
進化のダイナミクスの中で偏ったものを含む様々な推論の戦略をモデル化すること.

主な方法:

集団の相互作用をモデル化するために進化的ゲーム理論を活用した.
不偏見と偏見 (ポジティブとネガティブ) の両方を含むレベルkの推論戦略を実装します.
連続的な相互作用を表すためにインクリメンタル・センチペッド・ゲームを適用した.

主要な成果:

選択は一貫してポジティブに偏った推論戦略を好む.
合理的な行動はこのダイナミクスの下で消滅する可能性があります
偏見は合理性を制限し推論の深さを制限します
ポジティブにバイアスしたエージェントは非合理的なエージェントと共存し,新しいバランスを形成します.

結論:

願望通りの認知バイアスは社会的ジレンマを乗り越えるための適応機能かもしれません
合理的な判断からの逸脱は進化的に有利なものです
この研究は認知バイアスの進化的根源と社会的相互作用における役割についての洞察を提供します

キーワード:

認知バイアス進化的ゲーム理論 k レベル思考ミックスモチーフゲーム連続的なジレンマ

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