人工知能のメンタリティの3つの枠組み
1Leverhulme Centre for the Future of Intelligence, University of Cambridge, Cambridge, United Kingdom.
Frontiers in psychology
|February 20, 2026
まとめ
大型言語モデル (LLM) は,ユーザーがAIにメンタリティを代入するよう促します. この論文では,AIメンタリティの3つのフレームワークを分析し,段階的な信念と願望の属性に対する"最小の認知エージェント"の見解を提案しています.
科学分野:
- 人工知能 (AI) とは,人工知能 (AI) のことです.
- コグニティブ・サイエンス コグニティブ・サイエンス
- 心の哲学 心の哲学
背景:
- 大型言語モデル (LLM) の急速な進歩により,AIに対するメンタリティの公的およびユーザの帰属が増加しました.
- 人工知能のメンタリティを理解するための既存の枠組みには",無意識の機械"と"単なるロールプレイ"の見解が含まれています.
- これらのフレームワークは,ユーザー属性とAI認知の性質を説明する上で課題に直面しています.
研究 の 目的:
- 人工知能のメンタリティの属性に関する構造的な分析を提供すること.
- AI認知を理解するための既存のフレームワークを批判的に評価する.
- LLMに精神状態を割り当てるための新しい枠組みを提案する.
主な方法:
- Marrの分析レベルを用いた建築的反証論の分析.
- 人工知能の相互作用に対する"単なるロールプレイ"の類似点の評価.
- "最小限の認知エージェント"の枠組みの開発.
主要な成果:
- 建築的説明は,実装に敏感な概念と無関心な概念を区別する民俗心理学的説明の必要性を完全に否定しません.
- "単なるロールプレイ"の見解は,心理的に不安定で,理論的に人類型AIには不完全である.
- LLMは",最小限の認知エージェント"の枠組みの下で,信念や欲望のような状態の限られた,段階的な属性を保証することができます.
結論:
- 信念のバイナリー概念を超えて,多次元的で連続的なモデルに移行することが必要である.
- このアプローチは,AIに関する現在の解釈の慣行をよりよく捉えることができます.
- それは,人間,LLM,およびより単純なシステム認知の間の区別を維持するのに役立ちます.
キーワード:
アントロポモルフィズム (anthropomorphism) とはフォーク心理学 フォーク心理学人間とAIの関係大規模な言語モデルがあります.AIの哲学とは,AIの哲学である.ソーシャルAI ソーシャルAI理論,理論,理論,理論などです.さらに関連する動画
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