首页> 外文会议>Advances in Knowledge Acquisition and Management; Lecture Notes in Artificial Intelligence; 4303 >Planning with Domain Rules Based on State-Independent Activation Sets
【24h】

Planning with Domain Rules Based on State-Independent Activation Sets

机译:使用基于状态独立的激活集的域规则进行规划

获取原文
获取原文并翻译 | 示例

摘要

In AI planning community, planning domains with derived predicates are very challenging to many planning system. Derived predicate is a new application of domain rules and domain knowledge acquisition. In this paper, we propose an approach to planning with derived predicates: defining activation sets of a derived predicate which are unrelated to any specific state and computing them in the preprocess phase through the instantiation rule-graph; replacing a derived predicate with one of its activation sets in relax-plan to extract action sequences. And we also implement the proposed approach in a new planner, called FF-DP, which shows good performance in our experiments.
机译:在AI规划社区中,具有派生谓词的规划域对许多规划系统而言都是非常具有挑战性的。派生谓词是领域规则和领域知识获取的新应用。在本文中,我们提出了一种使用派生谓词进行规划的方法:定义派生谓词的与任何特定状态无关的激活集,并通过实例化规则图在预处理阶段对其进行计算;在松弛计划中用其激活集之一替换派生谓词以提取动作序列。而且,我们还在名为FF-DP的新计划器中实施了建议的方法,该方法在我们的实验中显示出良好的性能。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号