LLMエージェント環境における監査行動の解決
ある研究は、LLMエージェント環境における同時行動のための5つの設定ポリシーを監査し、注文の感度、有用な進捗、およびリプレイの一貫性に焦点を当てています。
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根拠
- AarXiv cs.AI一次情報2026-10-02 12:00
Five settlement policies are tested in 28,800 exhaustive permutation trials and 2,160 scripted multistep episodes.
- AarXiv cs.AI一次情報2026-10-02 12:00
Abstract: Concurrent actions in large language model (LLM) agent environments require arbitration even when each proposal is individually valid. We implement a typed snapshot-settlement contract and audit three distinct properties: order sensitivity, useful progress, and replay consistency. Five settlement policies are tested in 28,800 exhaustive permutation trials and 2,160 scripted multistep ep…