2006
DOI: 10.1016/j.jal.2005.06.003
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A clausal resolution method for extended computation tree logic ECTL

Abstract: A temporal clausal resolution method was originally developed for linear time temporal logic and further extended to the branching-time framework of Computation Tree Logic (CTL). In this paper, following our general idea to expand the applicability of this efficient method to more expressive formalisms useful in a variety of applications in computer science and AI requiring branching time logics, we define a clausal resolution technique for Extended Computation Tree Logic (ECTL). The branching-time temporal lo… Show more

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Cited by 6 publications
(18 citation statements)
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“…These results were essentially used in the formulation of the transformation rule for the ECTL fairness constraint A [2]. In this paper we will further extend their applicability in the transformation procedure for ECTL · .…”
Section: Proposition 4 (Existence Of a Canonical Model)mentioning
confidence: 99%
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“…These results were essentially used in the formulation of the transformation rule for the ECTL fairness constraint A [2]. In this paper we will further extend their applicability in the transformation procedure for ECTL · .…”
Section: Proposition 4 (Existence Of a Canonical Model)mentioning
confidence: 99%
“…The first stage of the transformation procedure outlined above, the procedure ½ , is taken from the translation of ECTL formulae to SNF ÌÄ [2]. Here we describe novel techniques to cope with Boolean combinations of temporal operators defined in addition to the rules of the procedure ¾ , introduced for ECTL [2].…”
Section: Transformation Rules Towards Snf ìämentioning
confidence: 99%
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“…Due to the dynamic and non-deterministic nature of the underlying complex systems, we believe that the appropriate formal framework is given in the so called branching-time setting. In [1] we have shown how the specification language of the normal form for branching-time logic [3] can be used in this framework to enable a resolution based deductive verification.…”
Section: Introductionmentioning
confidence: 99%