Frequently we become amazed with the increasing number of problems to be solved that fiourish while facing daily activities. Often, related to these problems we llave also an incredible amount oí data. Since we cannot allways afford time and resources…

The notion of context and its importance in knowledge representation and nonmonotonic reasoning was first discussed in Artificial Intelligence by John McCarthy.
Ever since, contexts have found many applications in developing knowledge-based reasoning systems.
Defeasible argumentation has gained wide acceptance…

The problem of speeding up ínference has proved to be important in argumentative systems. When computing dialectical structures, several paths are searched (called argumentation lines), many of which will eventually prove useless. Morover, the performance of backward chainers degrades quickly…

The matrix connection method (MCM) is an alternative procedure for theorem proving than the usual resolution technique. We already have used the MCM for finding models in a real-time knowledge-based system generator. In this paper, we adapt the MCM to…

In this study we propose the standard modal logic KD43 as the logle governing expressions about Utopia. We define a formal construction corresponding to Utopian expressions In ordlnary language that we name utopian eonditionals.
They possess the singular properties of…

En [2] Gerhard Brewka realizó una reconstrucción de la Teoría de Disputación Formal de Nicholas Rescher [5]. En su trabajo, Brewka completó la formalización de la presentación de Dialectics:
A Controversy-Oriented Approach to the Theory 01 Knowledge. El formalismo no..monótono…

Effective document retrieval using domain knowledge and semantics is one of the major challenges in Information Retrieval. Over the last years, there has been a growing interest in ontologies as an artifact for human knowledge representation and a critical component…

A fuzzy controller is usually designed by formulating the knowledge of a human expert into a set of linguistic variables and fuzzy rules. As it is well known, the use of prior knowledge can dramatically improve the performance and quality…

En este trabajo se formula una propuesta de arquitectura de integración entre sistemas de descubrimiento de conocimiento (adquisición automática) y sistemas basados en conocimiento (sistemas expertos). Se formulan consideraciones sobre la viabilidad de implementación de dicha arquitectura en función de…

This study investigates an approach of knowledge discovery and data mining in insufficient databases. An application of Computational Taxonomy analysis demonstrates that the approach is effective in such a data mining process. The approach is characterized by the use of…