论文标题
一种基于论证的方法来解释智能代理中的目标选择
An Argumentation-based Approach for Explaining Goal Selection in Intelligent Agents
论文作者
论文摘要
在实际推理的第一步，即审议或目标选择中，智能代理会产生一组可追求的目标，然后选择他承诺实现的目标。包括智能代理在内的可解释的人工智能（XAI）系统必须能够解释其内部决策。在目标选择的背景下，代理应该能够解释导致他们选择（或不）某个目标的推理路径。在本文中，我们使用一种基于论证的方法来生成有关推理路径的解释。此外，我们的目标是通过有关在选择过程中新兴冲突以及如何解决此类冲突的信息来丰富解释。我们提出了两种类型的解释：部分和完整的解释和一组解释方案，以生成伪自然的解释。最后，我们将建议应用于更清洁的世界情景。
During the first step of practical reasoning, i.e. deliberation or goals selection, an intelligent agent generates a set of pursuable goals and then selects which of them he commits to achieve. Explainable Artificial Intelligence (XAI) systems, including intelligent agents, must be able to explain their internal decisions. In the context of goals selection, agents should be able to explain the reasoning path that leads them to select (or not) a certain goal. In this article, we use an argumentation-based approach for generating explanations about that reasoning path. Besides, we aim to enrich the explanations with information about emerging conflicts during the selection process and how such conflicts were resolved. We propose two types of explanations: the partial one and the complete one and a set of explanatory schemes to generate pseudo-natural explanations. Finally, we apply our proposal to the cleaner world scenario.
