By Roque Marín, Eva Onaindía, Alberto Bugarín, José Santos
This ebook constitutes the completely referred post-proceedings of the eleventh convention of the Spanish organization for man made Intelligence, CAEPIA 2005, held in Santiago de Compostela, Spain in November 2005.
The forty eight revised complete papers offered including an invited paper have been conscientiously chosen in the course of rounds of reviewing and development from an preliminary overall of 147 submissions. The papers span the complete spectrum of man-made intelligence from foundational and theoretical matters to complicated purposes in a variety of fields.
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Extra resources for Current Topics in Artificial Intelligence: 11th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2005, Santiago de Compostela,
The MFTP model is based on the CSP formalism and on the fuzzy set theory. An MFTP allows a pattern to be represented by means of a network of fuzzy constraints between a set of signiﬁcant points. Deﬁnition 1. We define significant point on a physical parameter P j , Xij , as the pair formed by a variable from the domain Vij and a temporal variable Tij . A significant point Xij = < Vij , Tij > represents an unknown value Vij for P j at an unknown temporal instant Tij . In the absence of constraints, Vij and j j Tij may take any precise value v[k] and tj[k] , respectively, where (v[k] , tj[k] ) ∈ P j .
Nevertheless, a third fusion method can be considered: using several units (each one with a diﬀerent image Omni) for every plane or combine them. This method can introduce some noise in the system and therefore it can decrease the quality of generated images. It is important to consider that the Bayesian colour unit is very related with the projection of a point (x, y, z) in the hyperbole H. So, any odometric error can actually aﬀect the projection of distant planes in a certain omnivision image providing wrong results.
Otero, CV. Rodr´ıguez, J. Correa, M. Rodr´ıguez, and P. F´elix. A fuzzy constraint satisfaction approach for landmark recognition in mobile robotics. In IPMU2004, pages 183–191, 2004. 6. LA. Zadeh. The concept of a linguistic variable and its application to approximate reasoning. Information Science, 8:199–249, 1975. es Abstract. This paper defines a meta-reasoning model for real-time agents. The purpose of this model is to increase the adaptability in this kind of agents. This model allows to adapt the agent’s behavior as well as the agent’s own reasoning process.