By Bernhard Heinemann (auth.), Hector Geffner, Rui Prada, Isabel Machado Alexandre, Nuno David (eds.)
This booklet constitutes the refereed complaints of the eleventh Ibero-American convention on man made Intelligence, IBERAMIA 2008, held in Lisbon, Portugal, in October 2008.
The forty six papers awarded have been conscientiously reviewed and chosen from 147 submissions. The papers are equipped in topical sections on wisdom illustration; making plans and Scheduling; Constraint delight and Optimization; Probabilistic Reasoning; desktop studying; Multiagent platforms; typical Language Processing; clever details platforms and NLP; Robotics; and purposes.
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Extra resources for Advances in Artificial Intelligence – IBERAMIA 2008: 11th Ibero-American Conference on AI, Lisbon, Portugal, October 14-17, 2008. Proceedings
H. Geffner et al. ): IBERAMIA 2008, LNAI 5290, pp. 21–30, 2008. c Springer-Verlag Berlin Heidelberg 2008 22 L. Perrussel, J. Marchi, and G. Bittencourt Using this enriched representation, we can at first define a new distance; second we show the consequences on the behavior of belief merging procedures by focusing on two classical belief merging operators: arbitration  and majority operators . The paper is structured as follows: in section 2, we introduce the quantum notation by presenting the formal definitions of prime implicants and prime implicates, and how we can use the quantum notation to characterize these forms.
Indeed, these two representations enable to represent how symbols are related: in terms of models (implicants) but also in terms of structure (implicates). Our assumption is that each clause in the prime implicates set is more relevant than an isolated symbol, once it represents better the notion of knowledge unit. In order to support this notion, we introduce the quantum notation that correlates prime implicants and implicates in a syntactical way. H. Geffner et al. ): IBERAMIA 2008, LNAI 5290, pp.
Gonz´ alez-Rodr´ıguez et al. corresponds to a crisp ordering of tasks and it is not until tasks are executed according to this ordering that we know their real duration and, hence, know the exact schedule, the a-posteriori solution with crisp job completion times and makespan. The practical interest of a solution to the fuzzy job shop would lie in the ordering of tasks that it provides a priori using the available incomplete information, which should yield good schedules in the moment of its practical use.
Advances in Artificial Intelligence – IBERAMIA 2008: 11th Ibero-American Conference on AI, Lisbon, Portugal, October 14-17, 2008. Proceedings by Bernhard Heinemann (auth.), Hector Geffner, Rui Prada, Isabel Machado Alexandre, Nuno David (eds.)
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