Advances in Artificial Intelligence - IBERAMIA 2016: 15th by Manuel Montes y Gómez, Hugo Jair Escalante, Alberto Segura,

By Manuel Montes y Gómez, Hugo Jair Escalante, Alberto Segura, Juan de Dios Murillo

This booklet constitutes the refereed court cases of the 15 Ibero-American convention on man made Intelligence, IBERAMIA 2016, held in San José, Costa Rica, in November 2016. The 34 papers awarded have been rigorously reviewed and chosen from seventy five submissions. The papers are equipped within the following topical sections: wisdom engineering, wisdom illustration and probabilistic reasoning; agent know-how and multi-agent platforms; making plans and scheduling; typical language processing; computer studying; massive info, wisdom discovery and knowledge mining; computing device imaginative and prescient and development popularity; computational intelligence tender computing; AI in schooling, affective computing, and human-computer interaction. 

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DFT and belief revision. An´ alisis Filos´ ofico XXVII(2), 373–393 (2006) 9. : Rationality postulates for induction. In: Shoam, Y. ) Proceedings of the Sixth Conference of Theoretical Aspects of Rationality and Knowledge (TARK-96), pp. 267–281 (1996) 10. : Logical characteristics of inductive learning. , Kruse, R. ) Abductive Reasoning and Learning, pp. 155–196 (2000) 11. : Credibility limited revision. J. Symbolic Logic 66, 1581–1596 (2001) 12. : Propositional knowledge base revision and minimal change.

Then by (Right or), α by (Right strengthening), α γ. If α has not explanations, then there are αωi (the disjunction of all such elements αωi of Expl( ) such that γ γ. Since αωi ). Then, by (Right or) and (Right strengthening), we have γ α and ∧ α ⊥, by (Cautious monotony), we have ∧ α γ and therefore, by (Congruence), α γ. (⇒) If α γ, then, by (Coherence), γ is consistent. Thus, [[γ]] = {ω1 , . . , ωn } where γ≡ n i=1 αωi Then αωi γ for all i. By (Right strengthening) we have α αωi . Then αωi ϕ ◦ α for all i.

1. To validate the system, historical data from August 2014 were selected for testing. Figure 3 shows the behavior of the wind speed and the power generation values. As can be noticed in this figure, the turbine was fired and protected to stop generation after a failure was detected by the operator. The turbine was generating around 60 kW when it drops to zero generation. The wind turbine operator informs that the failure detected at that time was the break of a screw causing the yaw mechanism unbalanced.

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