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English(EN) The Design and Composition of Structural Causal Decision Processes

新的因果模型为数字经济政策模拟提供框架

研究人员引入了两类新颖的因果模型,用于决策代理,称为结构因果决策模型(SCDMs)和结构因果决策过程(SCDPs)。这些模型通过显式表示因果关系并允许决策受其先决条件约束来扩展现有框架,同时还容纳了开放的根变量。SCDPs 因其表达能力而尤为突出,通过不假设理性信念形成并能够内生地建模记忆和变量折扣,超越了 POMDPs。 AI

影响 为数字经济中的资源理性代理和政策模拟引入了新框架。

排序理由 这是一篇发表在 arXiv 上的研究论文,详细介绍了用于决策代理的新因果模型。

在 arXiv cs.AI 阅读 →

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新的因果模型为数字经济政策模拟提供框架

报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Sebastian Benthall, Alan Lujan ·

    The Design and Composition of Structural Causal Decision Processes

    arXiv:2605.02681v1 Announce Type: cross Abstract: We present two new classes of causal models of decision-making agents. Our approach is motivated by the needs of modeling the economics of computing systems. These systems are composed of subsystems and can exhibit endogenous limi…

  2. arXiv cs.AI TIER_1 English(EN) · Alan Lujan ·

    The Design and Composition of Structural Causal Decision Processes

    We present two new classes of causal models of decision-making agents. Our approach is motivated by the needs of modeling the economics of computing systems. These systems are composed of subsystems and can exhibit endogenous limits on cognitive resources and value discounting. S…