论文标题
通过因果分析的精神状态分析的行为解释：初步报告
Behaviour Explanation via Causal Analysis of Mental States: A Preliminary Report
论文作者
论文摘要
受到实际原因的新型动作理论形式化的启发，可汗和莱斯佩兰斯（2021）最近提出了一个因果知识的第一个说明，该因果知识支持认知效应，模型因果知识动态，并允许传感动作是观察到效应的原因。迄今为止，还没有其他研究专门研究这些问题。但是，它们的形式化不足以通过因果分析来模型，因为它忽略了心理理论的关键方面，即动机。在本文中，我们以他们的工作为基础，以支持有关锥形效应的因果推理。在我们的框架中，可以理解动机状态的原因，我们允许改变动力的行动是观察到的效果的原因。我们说明，可以利用这种形式化以及目标识别模型来解释沟通性多种环境中的代理行为。
Inspired by a novel action-theoretic formalization of actual cause, Khan and Lespérance (2021) recently proposed a first account of causal knowledge that supports epistemic effects, models causal knowledge dynamics, and allows sensing actions to be causes of observed effects. To date, no other study has looked specifically at these issues. But their formalization is not sufficiently expressive enough to model explanations via causal analysis of mental states as it ignores a crucial aspect of theory of mind, namely motivations. In this paper, we build on their work to support causal reasoning about conative effects. In our framework, one can reason about causes of motivational states, and we allow motivation-altering actions to be causes of observed effects. We illustrate that this formalization along with a model of goal recognition can be utilized to explain agent behaviour in communicative multiagent contexts.
