By Manuel Montes y Gómez, Hugo Jair Escalante, Alberto Segura, Juan de Dios Murillo
This booklet constitutes the refereed lawsuits of the 15 Ibero-American convention on man made Intelligence, IBERAMIA 2016, held in San José, Costa Rica, in November 2016. The 34 papers offered have been conscientiously reviewed and chosen from seventy five submissions. The papers are geared up within the following topical sections: wisdom engineering, wisdom illustration and probabilistic reasoning; agent know-how and multi-agent structures; making plans and scheduling; average language processing; desktop studying; titanic info, wisdom discovery and knowledge mining; computing device imaginative and prescient and development reputation; computational intelligence tender computing; AI in schooling, affective computing, and human-computer interaction.
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Additional info for Advances in Artificial Intelligence - IBERAMIA 2016: 15th Ibero-American Conference on AI, San José, Costa Rica, November 23-25, 2016, Proceedings
Then α ∨ β αω and, by (Infraclassicity) Suppose αω αω α ∨ β. Suppose that αω α. Since (α ∨ β) ∧ α ⊥, by (Cautious monotony) (α ∨ β) ∧ α αω . From this, by (Congruence), we have α αω . Thus, αω (ϕ ◦ α) and therefore αω (ϕ ◦ α) ∨ (ϕ ◦ β). Suppose αω α. Then αω β, with a analogous reasoning we get αω ϕ ◦ β. Therefore αω (ϕ ◦ α) ∨ (ϕ ◦ β). This proves that ϕ ◦ (α ∨ β) (ϕ ◦ α) ∨ (ϕ ◦ β). (ϕ ◦ α) ∨ (ϕ ◦ β). If αω ϕ ◦ α then α αω . From the Suppose αω α. From this and (Weak assumption and (Infraclassicity), we have αω cut), α ∨ β αω .
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. If this happen, both inferences, on the detection and isolation networks, take longer time to execute. The recommendation is to use a learning algorithm that produces less interconnected possible model, as the Greedy algorithm used in this project. This algorithm allows limiting the maximum number of parents for nodes in the model.
Diﬀerent families of explanatory relations and their properties have been studied in [3,9,10,15,16]. Our main goal is to continue to have a better understanding of these abstract explanatory relations (behavior, axioms, constructions) and their links with belief revision. There are works relating the c Springer International Publishing AG 2016 M. Montes-y-G´ omez et al. ): IBERAMIA 2016, LNAI 10022, pp. 25–36, 2016. V. Le´ on and R. Pino P´erez explanatory reasoning with belief revision [5,7,8,14,15,17], but to our knowledge this is the ﬁrst time that some explicit relationships between abduction and credibility limited revision operators are established.
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