By Manuel Montes y Gómez, Hugo Jair Escalante, Alberto Segura, Juan de Dios Murillo
This booklet constitutes the refereed complaints of the 15 Ibero-American convention on synthetic Intelligence, IBERAMIA 2016, held in San José, Costa Rica, in November 2016. The 34 papers offered have been rigorously reviewed and chosen from seventy five submissions. The papers are prepared within the following topical sections: wisdom engineering, wisdom illustration and probabilistic reasoning; agent know-how and multi-agent platforms; making plans and scheduling; usual language processing; computing device studying; colossal facts, wisdom discovery and knowledge mining; machine imaginative and prescient and trend acceptance; computational intelligence gentle computing; AI in schooling, affective computing, and human-computer interaction.
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Extra info for Advances in Artificial Intelligence - IBERAMIA 2016: 15th Ibero-American Conference on AI, San José, Costa Rica, November 23-25, 2016, Proceedings
The version we proposed here, is a more compact version which has been presented by Booth et al. in  in the Katsuno-Mendelzon  style. Definition 1. An operator ◦ : L∗ × L −→ L is called a credibility-limited revision operator (CL revision operator for short) if the following postulates1 hold for any consistent formula ϕ and every formulas α and β: ϕ ◦ α ≡ ϕ or ϕ ◦ α α (Relative success) If α ∧ ϕ ⊥ then ϕ ◦ α ≡ ϕ ∧ α (Vacuity) ϕ◦α ⊥ (Strong coherence) If ϕ ≡ ψ and α ≡ β then ϕ ◦ α ≡ ψ ◦ β (Syntax independence) If ϕ ◦ α α and α β then ϕ ◦ β β (Success monotony) ⎧ ϕ ◦ α or ⎨ ϕ ◦ (α ∨ β) ≡ ϕ ◦ β or (Trichotomy) ⎩ (ϕ ◦ α) ∨ (ϕ ◦ β) Definition 2 (Assignment).
From the testing data set, or from the on–line SCADA, read the current value of all variables. 3. Apply the sensor validation algorithm and identify the real faulty variable(s). 4. Register the pattern of real faulty variables for the diagnosed failure in the process. , the response time should be enough for detecting insipient and unexpected failures in the wind turbine. H. Ibarg¨ uengoytia et al. time depends mainly on the interconnection of the behavior model. If some nodes contain many parents, the CPT tables grow exponential and the Markov blankets become also larger.
Le´ on and R. Pino P´erez Lemma 1. If Expl is an ordered explanatory relation then Expl(α) = ∅ ⇔ α ∈ Proposition 2. If tulates hold: (P1) (P2) (P3) (P4) (P5) (P6) (P7) (P8) (P9) (P10) is an ordered explanatory relation then the following pos- α ∈ Expl ⇒ α α. α αω ⇒ αω α. α α and β α ⇒ α β or α α ∧ ¬β. Expl(α) = ∅ ⇒ α has complete explanations. α γ β α and (α β) ⇒ α ∧ ¬β γ. has explanations. Expl(α) = ∅ ⇒ α ∨ β α ∨ β for any formula β. α γ and β δ ⇒ α ∨ β γ or α ∨ β δ. α γ, γ β and α ∧ β δ ⇒ α δ.
Advances in Artificial Intelligence - IBERAMIA 2016: 15th Ibero-American Conference on AI, San José, Costa Rica, November 23-25, 2016, Proceedings by Manuel Montes y Gómez, Hugo Jair Escalante, Alberto Segura, Juan de Dios Murillo