実験集団における選択的社会的学習によって保存された複雑な認知アルゴリズム
B Thompson1, B van Opheusden2, T Sumers2
1Department of Psychology, University of California, Berkeley, Berkeley, CA, USA.
Science (New York, N.Y.)
|March 31, 2022
まとめ
選択的社会学習は 複雑な認知アルゴリズムを 世代を超えて保存するのに役立ちます そうでなければ 単純で伝達しやすい解決策を好む傾向があり 文化的進化に影響を及ぼします
科学分野:
- 認知科学
- 進化心理学
- コンピュータ社会科学
背景:
- 人間の認知能力は 世代を超えて蓄積された知識に依存します
- 複雑な革新的なアルゴリズムを文化的に伝達することは,コンセプトの移転の困難のために困難です.
研究 の 目的:
- 複雑な認知アルゴリズムがどのように保存され 世代を超えて伝達されるかを調査する
- 問題解決戦略の文化的進化における社会的学習の役割を理解する.
主な方法:
- 12世代20集団にわたる 3450人の参加者を含む大規模な実験シミュレーションです
- 参加者は,難しい順次決定問題 (数値並べ替え) を解決し,解決策を伝達しました.
- 選択的社会学習と非選択的社会学習の集団間のアルゴリズム持続性の比較
主要な成果:
- このシミュレーションでは,既知の分類アルゴリズムがいくつか再発見されました.
- 複雑なアルゴリズムは,選択的社会学習の集団では,より頻繁に持続しました.
- 選択的学習のない集団は 複雑なアルゴリズムを失い 単純で伝播可能なアルゴリズムに収束します
結論:
- 選択的社会学習は 稀で高性能な認知アルゴリズムの保持に不可欠です
- 学習パートナーを選ぶ能力は,複雑なイノベーションの文化的蓄積を容易にする.
- 発見は人間の社交性と高度な認知機能の 関連性を裏付けています
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