论文标题
mypddl：有效创建PDDL域和问题的工具
MyPDDL: Tools for efficiently creating PDDL domains and problems
论文作者
论文摘要
规划域定义语言（PDDL）是用于指定人工智能研究中计划问题的最先进语言。但是，编写和维护这些计划问题可能是耗时的，并且容易出错。为了解决此问题，我们介绍了用于开发和操纵PDDL域和问题的MyPDDL-A模块化工具包。为了评估MyPDDL，我们将其功能与PDDL的现有知识工程工具进行比较。在用户测试中，我们还评估了其两个模块，即语法突出显示功能和类型图生成器。语法用户突出显示检测到的错误比错误域文件中的非用户多36％。当使类型图生成器可用时，PDDL类型层次结构的问题的平均任务时间减少了48％。这意味着MYPDDL可以在PDDL设计和分析过程中很好地支持知识工程师。
The Planning Domain Definition Language (PDDL) is the state-of-the-art language for specifying planning problems in artificial intelligence research. Writing and maintaining these planning problems, however, can be time-consuming and error prone. To address this issue, we present myPDDL-a modular toolkit for developing and manipulating PDDL domains and problems. To evaluate myPDDL, we compare its features to existing knowledge engineering tools for PDDL. In a user test, we additionally assess two of its modules, namely the syntax highlighting feature and the type diagram generator. The users of syntax highlighting detected 36% more errors than non-users in an erroneous domain file. The average time on task for questions on a PDDL type hierarchy was reduced by 48% when making the type diagram generator available. This implies that myPDDL can support knowledge engineers well in the PDDL design and analysis process.
