計算的合理性:脳,心,機械における知性の収束パラダイム
Samuel J Gershman1, Eric J Horvitz2, Joshua B Tenenbaum3
1Department of Psychology and Center for Brain Science, Harvard University, Cambridge, MA 02138, USA. gershman@fas.harvard.edu horvitz@microsoft.com jbt@mit.edu.
まとめ
人工知能 (AI),認知科学,神経科学が 統合されていて コンピューティング・インテリジェンスに焦点を当てています この再融合は 不確実性下で知覚,行動,意思決定の革新を促します
科学分野:
- 人工知能 (AI),認知科学,神経科学の交差点にある学際的な研究.
背景:
- 歴史的に別々の分野は 共有された知能の 計算理論に合流しています
- この再融合は学際的な協力と知識の交換を促進します.
研究 の 目的:
- 計算による不確実性下での知覚と行動の理解の進捗を図示する.
- 最適な意思決定のための計算的合理性の開発を探求する.
主な方法:
- 数十年にわたる 計算による知性の進歩を 振り返る
- 確率論的推論のための表現と推論を検証する.
- 計算上のトレードオフ (努力,精度,タイミング) のための分析装置.
主要な成果:
- 大規模な確率推論方法の開発.
- 計算上のトレードオフを考えるための機械.
- 複雑で現実的な問題への 計算的合理性の適用
結論:
- 人工知能 認知科学 神経科学の融合が 統合された知性の見方を 提供しています
- コンピュータによるアプローチは,知覚,行動,意思決定の課題に取り組むための強力なツールを提供します.
- これらの分野間の交流は 将来の科学的な発見に 大きな可能性を秘めています
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