4.7 Article

Computing Sufficient and Necessary Conditions in CTL: A Forgetting Approach

期刊

INFORMATION SCIENCES
卷 616, 期 -, 页码 474-504

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2022.10.124

关键词

Computation tree logic; Forgetting; Weakest sufficient condition; Model checking

资金

  1. National Natural Science Foundation of China (NSFC) [61976065, U1836205]
  2. Guizhou Science Support Project [2022-259]
  3. Educational Department of Guizhou [KY[2019]167]
  4. Department of Science and Technology of Guizhou Province [[2019]QNSYXM-05]
  5. Hybrid Intelligence Project - Dutch Ministry of Education, Culture and Science [024.004.022]
  6. NSFC [61872371]
  7. National Natural Science Foundation of China [61976120]
  8. Natural Science Foundation of Jiangsu Province [BK20191445]
  9. Natural Science Key Foundation of Jiangsu Education Department [21KJA510004]

向作者/读者索取更多资源

This article presents the research progress on forgetting in computation tree logic (CTL), including the concepts of weakest sufficient condition (WSC) and strongest necessary condition (SNC), as well as the model-theoretic and resolution-based methods for computing forgetting results in CTL.
Computation tree logic (CTL) is an essential specification language in the field of formal verification. In systems design and verification, it is often important to update existing knowledge with new attributes and subtract the irrelevant content while preserving the given properties on a known set of atoms. Under the scenario, given a specification, the weakest sufficient condition (WSC) and the strongest necessary condition (SNC) are dual concepts and very informative in formal verification. In this article, we generalize our previous results (i.e., the decomposition, homogeneity properties, and the representation theorem) on forgetting in bounded CTL to the unbounded one. The cost we pay is that, unlike the bounded case, the result of forgetting in CTL may no longer exist. However, SNC and WSC can be obtained by the new forgetting machinery we are presenting. Furthermore, we complement our model-theoretic approach with a resolution-based method to compute forgetting results in CTL. This method is currently the only way to compute forgetting results for CTL and temporal logic. The method always terminates and is sound. That way, we set up the resolution-based approach for computing WSC and SNC in CTL. (c) 2022 Elsevier Inc. All rights reserved.

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