大規模な言語モデルを,不確実性下で計画するための因果的推論の心理的に根拠のあるモデルで拡張する
Semanti Basu1, Moon Hwan Kim1, Semir Tatlidil2
1Computer Science, Brown University, Providence, RI, United States.
Frontiers in artificial intelligence
|February 16, 2026
まとめ
人間の因果モデルと大型言語モデル (LLM) の統合は,不確実性下でAIの計画を大幅に改善します. このハイブリッドのアプローチは,オブジェクトアセンブリやトラブルシューティングなどの複雑なタスクの意思決定を強化します.
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
背景:
- 大型言語モデル (LLM) は,パターンの認識に優れているが,不確実性下での意思決定に苦労する.
- 人間の推論は,よりよい説明,仮説の生成,不確実な状況でのエクストラポレーションのために,明示的な因果的モデルを使用します.
研究 の 目的:
- 人的因果モデルとLLMの戦略的統合を調査する.
- 部分的に観察可能なマルコフ決定プロセス (POMDPs) としてモデル化されたオブジェクトアセンブリとトラブルシューティングタスクの計画結果を向上させる.
主な方法:
- 特定のタスクのためのPOMDPフレームワーク内のアクションを計画するためのインタラクティブなLLMエージェントを開発しました.
- LLMの信頼性スコアと,最終的な行動選択のための人間因果モデルの洞察を組み合わせたハイブリッド推論の枠組みを導入しました.
主要な成果:
- 3つの最先端のLLMでタスクプランニング報酬の有意な改善が実証されました.
- 詳細なシミュレーションを通じて,人間の因果モデルでベースラインLLMプランナーを増やす有効性を示しました.
結論:
- 人間の因果モデルを統合したハイブリッド推論フレームワークは,不確実な計画シナリオでLLMのパフォーマンスを改善するための有望な方向性を提供します.
- 提案されたアプローチは,AIエージェントの意思決定の強度とタスクの成功率を高めます.
関連する概念動画
01:27Language and Cognition
829
Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
829
01:21Cognitive Learning
1.4K
Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
1.4K
01:37Reason and Intuition
7.5K
The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
7.5K
01:17Cognitivism
3.1K
Cognitive psychology emerged as a significant field in the mid-20th century. It focused on understanding humans' internal mental processes. This approach emphasizes how people perceive, remember, think, and solve problems—elements critical to human cognition.
Previously dominated by behaviorism, which prioritized observable behaviors and largely ignored mental processes, psychology transformed in the 1950s. Cognitive psychologists argue that understanding how we think and process...
Previously dominated by behaviorism, which prioritized observable behaviors and largely ignored mental processes, psychology transformed in the 1950s. Cognitive psychologists argue that understanding how we think and process...
3.1K
01:22Purposive Learning
531
E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a...
531
01:19Counterfactual Thinking
286
Counterfactual thinking is a cognitive process wherein individuals mentally reconstruct alternative versions of past events, often beginning with “what if” or “if only.” This reflective mechanism plays a significant role in shaping emotional experiences and guiding future behavior. Though typically triggered by unfavorable or unexpected outcomes, counterfactual thinking can also emerge in mundane, everyday decisions and experiences, revealing its deep entrenchment in...
286