论文标题
使用知识汇编的智能运输系统的解释：交通灯控制器案例
Explainability of Intelligent Transportation Systems using Knowledge Compilation: a Traffic Light Controller Case
论文作者
论文摘要
在环境上做出决策的自动控制器的使用通常是广泛的，并且通常基于黑框模型。我们使用知识汇编理论为鉴于系统的状态带来了控制者的决定。为此，我们使用模拟的历史状态行动数据作为输入，并构建一个将状态与行动相关的紧凑而结构化的表示。我们在交通灯控制方案中实现了此方法，在该方案中，控制器通过观察到来源道路不同区域的车辆的存在（或不存在）来选择光周期。
Usage of automated controllers which make decisions on an environment are widespread and are often based on black-box models. We use Knowledge Compilation theory to bring explainability to the controller's decision given the state of the system. For this, we use simulated historical state-action data as input and build a compact and structured representation which relates states with actions. We implement this method in a Traffic Light Control scenario where the controller selects the light cycle by observing the presence (or absence) of vehicles in different regions of the incoming roads.
