摘要翻译：
PDDL2.1的设计是为了推动规划算法所能做的事情，它已经成功了。它增加了两个重要特征：持续性行动，需要时间（并可能产生持续的效果）；和用于衡量计划质量的目标函数。持续性行为的概念存在缺陷；他们对语义的处理显示出对许多当代规划师工作方式的强烈依恋。未来的PDDL创新者应该专注于为添加到该语言的内容生成一个干净的语义，并让规划者实现者担心将他们的算法与该语言最新版本中表达的问题耦合起来。
---
英文标题：
《PDDL2.1 - The Art of the Possible? Commentary on Fox and Long》
---
作者：
D. McDermott
---
最新提交年份：
2011
---
分类信息：

一级分类：Computer Science        计算机科学
二级分类：Artificial Intelligence        人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
--

---
英文摘要：
  PDDL2.1 was designed to push the envelope of what planning algorithms can do, and it has succeeded. It adds two important features: durative actions,which take time (and may have continuous effects); and objective functions for measuring the quality of plans. The concept of durative actions is flawed; and the treatment of their semantics reveals too strong an attachment to the way many contemporary planners work. Future PDDL innovators should focus on producing a clean semantics for additions to the language, and let planner implementers worry about coupling their algorithms to problems expressed in the latest version of the language.
---
PDF链接：
https://arxiv.org/pdf/1109.5665