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By Adrian-Horia Dediu, Luis Magdalena, Carlos Martín-Vide

This ebook constitutes the refereed lawsuits of the 4th foreign convention on conception and perform of typical Computing, TPNC 2015, held in Mieres, Spain, in December 2015.

The 12 revised complete papers offered including 20 invited talks during this e-book have been conscientiously reviewed and chosen from 30 submissions. The scope of TPNC is quite wide, containing themes of both theoretical, experimental or utilized curiosity equivalent to delicate computing, computing architectures, and formal models.

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Extra resources for Theory and Practice of Natural Computing: Fourth International Conference, TPNC 2015, Mieres, Spain, December 15-16, 2015. Proceedings

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First, there are no obvious ways to compare the sub-optimal solutions found, due to the different representations adopted. In particular, in our GA a sub-optimal solution is a pseudoboolean function which already satisfies the desired cryptographic properties, while in direct methods it is a boolean function which do not satisfy these criteria. Second, to our knowledge only two direct heuristic methods have been reported in the literature to generate (6, 2, 3, 24) plateaued functions [1,4], but no information on the ratio of optimal solutions found per number of optimization runs are available.

Advances In Artificial Life, ECAL 2013, pp. 1056–1063. MIT Press, (2013) 12. : From evolutionary computation to the evolution of things. Nature 521(7553), 476–482 (2015) 13. : Evolution of adaptive behaviour in robots by means of darwinian selection. PLOS Biol. 8(1), e1000292 (2010) 14. : Noise and the reality gap: the use of simulation in evolutionary robotics. , Chac´ on, P. ) Advances in Artificial Life. Lecture Notes in Computer Science, pp. 704–720. Springer, Heidelberg (1995) 15. : The framsticks system: versatile simulator of 3d agents and their evolution.

Meta-data of the user profile are updated as a consequence of his application to a job offer. For each word among the most significant ones in the job offer, we calculate its triggered terms using the semantic vocabulary. With these terms we constitue a new group of words, recompute their T F × IDF regarding the corpus, sort the results and take the best words to enrich the user profile. Rt−1 where: Rt : is the word’s weight after update Rt−1 : is word’s weight before update Wt : is the new weight to add pulled from T F × IDF 0 < α < 1: is a coefficient to define as: α = N2+1 N : is a a constant smoothing factor.

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