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計算的同等性を超えて: 機械の意識のための行動推論原理
Stefano Palminteri1,2, Charley M Wu3,4,5
1Département d'Etudes Cognitives, Ecole Normale Supérieure, PSL, Research University, 29 rue d'Ulm, 75005, Paris, France.
Neuroscience of consciousness
|February 18, 2026
まとめ
この意見書では,大型言語モデル (LLM) で機械の意識を評価するための計算的同等性原理を批判しています. それは,人工的意識のためのより有効で運用可能な基準のための行動推論原理を提案しています.
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) は高度な能力を発揮し,一般人工知能や機械の意識に関する議論を巻き起こした.
- 機械の意識に関する現在のコンセンサスは,計算機能主義と計算等価の原理に依存しています.
- LLMにおける新興の能力は予期せぬもので,人工的な存在に意識を付与する議論を強めた.
研究 の 目的:
- 機械の意識を評価するための既存の計算的同等性原理を批判的に評価する.
- 人工的な存在に意識を代入するための代替的な"行動推論原理"を提唱すること.
- 機械の意識のための認識学的に有効で実行可能な基準を確立する.
主な方法:
- 計算の同等性原理の批判的分析. 計算の同等性原理の批判的分析. 計算の同等性原理の批判的分析. 計算の同等性原理の批判的分析.
- "行動推論原理"の発展と論証.
- 人工知能における意識の帰属に関する哲学的な検討.
主要な成果:
- 現在の計算的同等性原理は,機械の意識を評価するのに不十分であると判断されています.
- 提案されている"行動推論原理"は,より実用的なアプローチを提供します.
- 意識の帰属は,行動の説明と予測におけるその有用性に基づけばよい.
結論:
- "行動推論原理"は,機械の意識を評価するための強力な枠組みを提供します.
- この原理は,人工意識の評価を運用化および検証する私たちの能力を高めます.
- 人工知能とLLMの急速な進歩を考えると,意識の属性を再考することは極めて重要です.
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