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Domain-Dependent Knowledge in Answer Set Planning

机译:答案集规划中的领域相关知识

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In this article we consider three different kinds of domain-dependent control knowledge (temporal, procedural and HTN-based) that are useful in planning. Our approach is declarative and relies on the language of logic programming with answer set semantics (AnsProlog~*). AnsProlog~* is designed to plan without control knowledge. We show how temporal, procedural and HTN-based control knowledge can be incorporated into AnsProlog~* by the modular addition of a small number of domain-dependent rules, without the need to modify the planner. We formally prove the correctness of our planner, both in the absence and presence of the control knowledge. Finally, we perform some initial experimentation that demonstrates the potential reduction in planning time that can be achieved when procedural domain knowledge is used to solve planning problems with large plan length.
机译:在本文中,我们考虑了对规划有用的三种不同类型的依赖于域的控制知识(时间,过程和基于HTN)。我们的方法是声明性的,并且依赖于具有答案集语义(AnsProlog〜*)的逻辑编程语言。 AnsProlog〜*旨在进行无控制知识的计划。我们展示了如何通过模块化添加少量与域相关的规则,而无需修改计划程序,将基于时间,过程和基于HTN的控制知识整合到AnsProlog〜*中。无论是否存在控制知识,我们都会正式证明计划者的正确性。最后,我们执行一些初始实验,以证明当使用过程域知识来解决大计划长度的计划问题时,可以减少计划时间。

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