论文标题
基于论证的代理商来解释他们的决定
Argumentation-based Agents that Explain their Decisions
论文作者
论文摘要
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，行为和推理，从而为与人类（或其他系统）相互作用的人类（或其他系统）产生选择。在本文中，我们专注于BDI（信念 - 启示）代理的扩展模型如何能够产生有关其推理的解释，特别是他决定实现的目标。我们的建议基于论证理论，我们使用参数代表导致代理做出决定并使用论证语义来确定可接受论证（原因）的原因。我们提出了两种类型的解释：部分和完整的解释。我们将建议应用于救援机器人的情况。
Explainable Artificial Intelligence (XAI) systems, including intelligent agents, must be able to explain their internal decisions, behaviours and reasoning that produce their choices to the humans (or other systems) with which they interact. In this paper, we focus on how an extended model of BDI (Beliefs-Desires-Intentions) agents can be able to generate explanations about their reasoning, specifically, about the goals he decides to commit to. Our proposal is based on argumentation theory, we use arguments to represent the reasons that lead an agent to make a decision and use argumentation semantics to determine acceptable arguments (reasons). We propose two types of explanations: the partial one and the complete one. We apply our proposal to a scenario of rescue robots.
