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Comparisons Among α-Generalized Resolution Methods in \(\fancyscript{L}_{n \times 2}\)F(X)

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 277))

Abstract

This paper analyzes the characteristics of α-generalized semantic resolution, α-generalized linear resolution, and α-generalized lock resolution from their validity, complexity, and practicability in \( \fancyscript{L}_{n\times 2}\)F(X). Some examples are given to illustrate the efficiency of three non-clausal resolution methods.

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Acknowledgments

This work is partially supported by the National Natural Science Foundation of China (Grant Nos. 61305074, 61175055, 61105059, and 61100046) and Sichuan Key Technology Research and Development Program under Grant No. 2011FZ0051.

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Correspondence to Xingxing He .

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He, X., Xu, Y., Liu, J., Zhong, X., Xu, P. (2014). Comparisons Among α-Generalized Resolution Methods in \(\fancyscript{L}_{n \times 2}\)F(X). In: Wen, Z., Li, T. (eds) Foundations of Intelligent Systems. Advances in Intelligent Systems and Computing, vol 277. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54924-3_4

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  • DOI: https://doi.org/10.1007/978-3-642-54924-3_4

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-54923-6

  • Online ISBN: 978-3-642-54924-3

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