Titlebook: Artificial Intelligence and Symbolic Computation; 13th International C Jacques Fleuriot,Dongming Wang,Jacques Calmet Conference proceedings

EXPEL

Formalizing Some “Small” Finite Models of Projective Geometry in Coqh a combinatorial explosion in the number of cases to handle. We propose some easy-to-implement but relevant proof optimizations which, combined together, lead to an efficient way to deal with such large proofs.

錯(cuò)誤

FMUS2: An Efficient Algorithm to Compute Minimal Unsatisfiable Subsetsoposed to improve its efficiency. Experimental results show that our algorithm performs well on many industrial and generated instances, and the strategies adopted can indeed improve the efficiency of our algorithm.

烤架

What Does Qualitative Spatial Knowledge Tell About Origami Geometric Folds?ons using some existing spatial calculus. We attempt to divide the set of possible values of the parameters into disjoint spatial configurations that correspond to a specific number of fold lines. Our analyses and proofs use the power of a computer algebra system and in particular the Gr?bner basis algorithm.

Hypopnea

嗎啡

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/162327.jpg

個(gè)人長篇演說

Artificial Intelligence and Symbolic Computation978-3-319-99957-9Series ISSN 0302-9743 Series E-ISSN 1611-3349

Blatant

Mohamed Rashwan,Mohamed Darwishlation profiles. This amounts to solving a system of . quadratic equations over the boolean cube .. We establish and discuss a computational approach to this autocorrelation problems, using the concept of runs. An algorithm is given to solve this problem and its application is illustrated with non-trivial examples.

jagged

北極熊

https://doi.org/10.1007/978-3-319-99957-9Artificial intelligence; Automated theorem proving; Crowdsourcing; Formal logic; Geometric reasoning; Int

Stagger

978-3-319-99956-2Springer Nature Switzerland AG 2018