• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>AI communications >HAP_(RC): An automatically configurable planning system
【24h】

HAP_(RC): An automatically configurable planning system

机译：HAP_（RC）：一种可自动配置的计划系统

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper presents an adaptive planning system, called HAP_(RC), which automatically fine-tunes its planning parameters according to the morphology of the problem in hand, through a combination of Planning, Machine Learning and Knowledge-Based techniques. The adaptation is guided by a rule-based system that sets planner configuration parameters based on measurable characteristics of the problem instance. The knowledge of the rule system has been acquired through a rule induction algorithm. Specifically, the approach of propositional rule learning was applied to a dataset produced by results from experiments on a large number of problems from various domains, including those used in the three International Planning Competitions. The improvement of the adaptive system over the original planner is assessed through thorough experiments in problems of both known and unknown domains.
机译：本文提出了一种名为HAP_（RC）的自适应计划系统，该系统通过结合计划，机器学习和基于知识的技术，根据手头问题的形态自动微调其计划参数。适应由基于规则的系统指导，该系统基于问题实例的可测量特征来设置计划程序配置参数。规则系统的知识已通过规则归纳算法获得。具体来说，命题规则学习方法被应用于通过对来自各个领域的大量问题的实验结果而产生的数据集，包括在三个国际计划竞赛中所使用的问题。通过对已知和未知领域的问题进行全面的实验，评估了自适应系统相对于原始计划器的改进。

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