AI Agents 相关度: 7/10

Teleological Inference in Structural Causal Models via Intentional Interventions

Dario Compagno, Fabio Massimo Zennaro
arXiv: 2603.18968v1 发布: 2026-03-19 更新: 2026-03-19

AI 摘要

提出“意图干预”算子和结构最终模型(SFM),用于结构因果模型中检测智能体及其意图。

主要贡献

  • 提出意图干预算子
  • 构建结构最终模型(SFM)
  • 使用SFM检测智能体和发现意图

方法论

引入新的时间无关算子,构建双生SCM(SFM),将观察值视为意图干预的结果,并关联反事实条件。

原文摘要

Structural causal models (SCMs) were conceived to formulate and answer causal questions. This paper shows that SCMs can also be used to formulate and answer teleological questions, concerning the intentions of a state-aware, goal-directed agent intervening in a causal system. We review limitations of previous approaches to modeling such agents, and then introduce intentional interventions, a new time-agnostic operator that induces a twin SCM we call a structural final model (SFM). SFMs treat observed values as the outcome of intentional interventions and relate them to the counterfactual conditions of those interventions (what would have happened had the agent not intervened). We show how SFMs can be used to empirically detect agents and to discover their intentions.

标签

因果推理 结构因果模型 智能体 意图识别

arXiv 分类

cs.AI