期刊文献+

关于CTL与EAGLE两种规划扩展目标表示语言的语义比较

A Comparison of Semantics of Extended Goals Expressed in CTL and E_AG_(LE)
下载PDF
导出
摘要 在不确定的智能规划领域中,CTL和EAGLE是两种重要的扩展目标表示语言.虽然与CTL相比EAGLE具有可以表示规划意图和失败处理机制的特点,但是有关严格比较这两种目标表示语言语义的研究工作还不多.文章在规划的执行结构这一语义层次上对这两种语言做了严格的比较,证明了对于许多包括原来曾被认为无法用CTL表示的EAGLE规划目标而言,都存在着一个与之语义等价的CTL规划目标,并且进一步分析了这两种语言在表示规划目标和指导规划求解这两个层次上的优缺点. In automated planning under uncertainty, extended goals are often expressed as tem poral logic formulas, particularly as CTL(computation tree logic) formulas and EAGLE formulas. Though it is said that the capability of representing the "intentional" aspects of goals and the possibility of dealing with failure are the main new features of EAGLE with respect to CTL, there is not enough work devoted to formal comparison of semantics of these two languages. According to the formal semantics of EAGEE and CTL goals on Kripke structures (i. e. , execution structures induced by plans from initial states), it is proven that many EAGLE goals including some having been deemed to be unexpressive in CTL(e. g. , some EAGLE goals in which TryReach operator and Fail operator appear) can be expressed in CTL in fact, and an analysis of the characters of these two languages in expressing extended goals and guiding the search for plans that satisfy them is given.
出处 《计算机学报》 EI CSCD 北大核心 2009年第1期86-96,共11页 Chinese Journal of Computers
基金 国家自然科学基金(60773201) 广东省自然科学基金(07006474) 广东省科技攻关项目基金(2007B01020044)资助~~
关键词 不确定的智能规划 扩展的规划目标 执行结构 CTL EAGLE automated planning under uncertainty extended goal execution structure CTL (computation tree logic) EAGLE
  • 相关文献

参考文献14

  • 1Bacchus F, Kabanza F. Using temporal logics to express search control knowledge for planning. Artificial Intelligence, 2000, 116:123-191
  • 2Kabanza F, Barbeau M, St-Denis R. Planning control rules for reactive agents. Artificial Intelligence, 1997, 95 (1) : 67-113
  • 3Emerson E A. Temporal and modal logic//van Leeuwen J. Handbook of Theoretical Computer Science, Volume B: Formal Models and Semantics. Amsterdam: Elsevier, 1990: 995-1072
  • 4Dal Lago U, Pistore M, Traverso P. Planning with a language for extended goals//Proceedings of the 18th National Conference on Artificial Intelligence(AAAI'02). Edmonton, Alberta, Canada, 2002:447-454
  • 5Pistore M, Traverso P. Planning as model checking for extended goals in non-deterministic domains//Proceedings of the 17th International Joint Conference on Artificial Intelligence(IJCAI'01). Seattle, WA, USA, 2001:479-484
  • 6Jensen R, Veloso M, Bryant R. Guided symbolic universal planning//Proceedings of the 13th International Conference on Automated Planning and Scheduling (ICAPS' 03). Trento, Italy, 2003:123-132
  • 7Ghallab M, Nau D, Traverso P. Automated Planning, Theory and Practice. San Francisco, CA, USA: Morgan Kaufmann, Elsevier, 2004
  • 8Pistore M, Barbon F, Bertoli P, Shaparau D, Traverso P. Planning and monitoring web service composition//Proceedings of the Artificial Intelligence.. Methodology, Systems, and Applications, 11th International Conference (AIMSA' 04). Varna, Bulgaria, 2004:106-115
  • 9Cimatti A, Pistore M, Roveri M, Traverso P. Weak, strong, and strong cyclic planning via symbolic model checking. Artificial Intelligence, 2003, 147 : 35-84
  • 10Huang Wei, Wen Zhong-Hua, Jiang Yun-Fei, Chen Ai- Xiang. Comparison between two languages used to express planning goals: CTL and EAGLE//Proceedings of the 9th Pacific Rim International Conference on Artificial Intelligence (PRICAI'06). Guilin, China, 2006:180-189

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部