Download Current Topics in Artificial Intelligence by Conejo R. (ed.), Urretavizcaya M. (ed.) PDF

By Conejo R. (ed.), Urretavizcaya M. (ed.)

This ebook constitutes the completely refereed joint post-proceedings of the tenth convention of the Spanish organization for man made Intelligence, CAEPIA 2003, and the fifth convention on know-how move, TTIA 2003, held in San Sebastian, Spain, in November 2003.The sixty six revised complete papers offered including one invited paper have been conscientiously chosen in the course of rounds of reviewing and development from an preliminary overall of 214 submissions. The papers span the full spectrum of synthetic intelligence and complex functions in quite a few fields.

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Basically, this stage consists of a tree traversal commanded by the controllers. In this traversal, the processing procedures are applied in the right order. The modularity of the model is obtained thanks to the possibility for extending these procedures. The extensions will be devoted to propagating new attribute values in the tree, and to interrupting the evaluation when errors or other abnormal conditions are discovered. These adaptation and extension capabilities are essential in order to simplify the development and maintenance of complex systems, such as KBSs.

E. transport networks and educational hypermedias). This paper also describes the advantages (incremental development and maintenance improvement) that this approach supposes for the development of knowledgebased systems. 1 Introduction The development of applications in general, and of Knowledge-based Systems (KBSs) in particular, can be considered as a linguistic activity arising from the collaboration between the clients that have a problem to be solved, the domain experts with the knowledge required to solve that problem, the developers building the application, and the final users.

As an example of this type of operator, we can use the one proposed in [2]. This operator proposes the use of the fuzzy number that best fits, in the sense of fuzziness, the fuzzy set or fuzzy bag. 3 Example Once we have defined the fuzzy structure and the operations on it, we shall present an example of a simple multidimensional schema in order to show the application of operations on it. This example will be modelled using the classical multidimensional or crisp model to show the differences between both approaches.

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