Graph-Based Representation and Reasoning: 21st International by Nathalie Hernandez, Robert Jäschke, Madalina Croitoru PDF

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By Nathalie Hernandez, Robert Jäschke, Madalina Croitoru

ISBN-10: 3319083880

ISBN-13: 9783319083889

ISBN-10: 3319083899

ISBN-13: 9783319083896

This booklet constitutes the court cases of the twenty first overseas convention on Conceptual buildings, ICCS 2014, held in Iaşi, Romania, in July 2014. The 17 commonplace papers and six brief papers offered during this quantity have been conscientiously reviewed and chosen from forty and 10 submissions, respectively. the themes coated are: conceptual buildings, wisdom illustration, reasoning, conceptual graphs, formal idea research, semantic internet, info integration, desktop studying, information mining and data retrieval.

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Extra info for Graph-Based Representation and Reasoning: 21st International Conference on Conceptual Structures, ICCS 2014, Iaşi, Romania, July 27-30, 2014, Proceedings

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In the following, an attribute set with n elements is denoted by Y = {0, , n − 1}. The algorithm is invoked with an extent and a starting attribute, initially (X, 0). ComputeConceptsOnce(A, y) for j ← y upto n − 1 do C ← A ∩ {j}↓ B ← C↑ if NewConcept(C, B) then ProcessConcept(C, B) ComputeConceptsOnce(C, j + 1) 40 S. Andrews Early algorithms concentrated on finding repeats by efficiently searching the previously generated concepts. Lindig’s algorithm [8], and others like it, use a search tree to quickly find repeated results.

In fact, first order logic is so powerful that many problems including deduction are undecidable, and to mitigate the computational intractability, several settings between the propositional one and the first order logic one were explored [4]. After a while, a lot of researchers shifted to graphs to represent data, as they hit a nice balance between expressivity (being as powerful as relational databases or datalog) and computational tractability (in the sense that most things are decidable and the computational complexity of many tasks have been studied in the field of algorithmic graph theory).

And in the triangle game there is even more disagreement, as all three parameters are 1 5 different – they are, respectively, n 2 , n− 9 and n−1 . References 1. : Combinatorial Games: Tic-Tac-Toe Theory. Encyclopedia of Mathematics and Its Applications, vol. 114. Cambridge University Press (2008) 2. : Biased positional games for which random strategies are nearly optimal. Combinatorica 20, 477–488 (2000) 3. : Hitting time results for Maker-Breaker games. Random Structures and Algorithms 41, 23–46 (2012) 4.

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Graph-Based Representation and Reasoning: 21st International Conference on Conceptual Structures, ICCS 2014, Iaşi, Romania, July 27-30, 2014, Proceedings by Nathalie Hernandez, Robert Jäschke, Madalina Croitoru


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