By Yongchun Liang (auth.), Fu Lee Wang, Hepu Deng, Yang Gao, Jingsheng Lei (eds.)

ISBN-10: 3642165303

ISBN-13: 9783642165306

The 2010 foreign convention on synthetic Intelligence and Computational Intelligence (AICI 2010) was once held October 23–24, 2010 in Sanya, China. The AICI 2010 got 1,216 submissions from 20 international locations and areas. After rigorous experiences, a hundred and five high quality papers have been chosen for book within the AICI 2010 court cases. The recognition expense used to be 8%. the purpose of AICI 2010 used to be to assemble researchers operating in lots of various components of man-made intelligence and computational intelligence to foster the trade of recent rules and advertise overseas collaborations. as well as the big variety of submitted papers and invited classes, there have been numerous across the world famous keynote audio system. On behalf of the Organizing Committee, we thank Hainan Province Institute of computing device and Qiongzhou college for its sponsorship and logistics aid. We additionally thank the contributors of the Organizing Committee and this system Committee for his or her labor. we're very thankful to the keynote audio system, invited consultation organizers, consultation chairs, reviewers, and pupil helpers. final yet now not least, we thank the entire authors and individuals for his or her nice contributions that made this convention possible.

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Extra resources for Artificial Intelligence and Computational Intelligence: International Conference, AICI 2010, Sanya, China, October 23-24, 2010, Proceedings, Part I

Example text

Finite paths transition system (FPTS) for calculating satisfiability degree of a LTL logic formula is given. Then, a more general situation about discrete-time Markov chains (DTMCs) is discussed. Then a case named leader election shows the practicability of satisfiability degree for transition system, which cannot be solved by classical model checking. Keywords: satisfiability degree, transition system, LTL. , any proposition is either true or false, with no other intermediate states. However, the real world does not always reflect the classical logic since there are many cases with neither absolute true nor absolute false.

The conclusions are given in the last section. * This work is supported by the Funds NSFC 60973049 and 60635020. L. Wang et al. ): AICI 2010, Part I, LNAI 6319, pp. 25–32, 2010. © Springer-Verlag Berlin Heidelberg 2010 26 2 Y. Zhao and G. Luo Satisfiability Degree Let Ρ be a propositional formula set and Ω the global field for interpreting Ρ, thus any formula φ ∈ Ρ and ω ∈ Ω, φ ω ∈ 0,1 . If φ ∈ Ρ, define a subset Ωφ Ω such that: ω|φ ω Ωφ 1, ω ∈ Ω  (1) Definition 1 (Satisfiability Degree in propositional logic) Given a propositional formula set and the global interpretation field Ω, the subset is defined as above.

Classical model checking is not capable of solving the situation of uncertain systems or fault-tolerant systems which occur in the real world commonly. The technique of satisfiability degree (SD) for model checking is a efficient way to solve this problem. Finite paths transition system (FPTS) for calculating satisfiability degree of a LTL logic formula is given. Then, a more general situation about discrete-time Markov chains (DTMCs) is discussed. Then a case named leader election shows the practicability of satisfiability degree for transition system, which cannot be solved by classical model checking.

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Artificial Intelligence and Computational Intelligence: International Conference, AICI 2010, Sanya, China, October 23-24, 2010, Proceedings, Part I by Yongchun Liang (auth.), Fu Lee Wang, Hepu Deng, Yang Gao, Jingsheng Lei (eds.)


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