The general objective of this thesis is the development of an adaptive technique for extracting knowledge in large databases. Nowadays, technology allows storing huge volumes of information. For this reason, the availability of techniques that allow, as a first stage,…

In this work we analyze the problem of knowledge representation in a collaborative multi-agent system where agents can obtain new information from others through communication. Namely, we analyze several approaches of belief revision in multi-agent systems. We will describe different…

This paper presents a proposal for an architecture that integrates knowledge discovery systems (automatic acquisition) and knowledge based systems (experts systems). This work formulates considerations over the viability of the implementation of this architecture according to the advance of the…

Esta tesis presenta una estrategia en la Ingeniería de Requisitos, denominada SDRES, que intenta abordar temas poco tratados en la práctica real, tales como los cambios constantes en los requisitos, defectos del software originados en los requisitos, el contexto organizacional…

Ensuring flexible and efficient manufacturing of customized products in an increasing dynamic and turbulent environment without sacrificing cost effectiveness, product quality and on-time delivery has become a key issue for most industrial enterprises. A promising approach to cope with this…

El rendimiento académico estudiantil ha sido definido como el cumplimiento de las metas, logros u objetivos establecidos en el programa o asignatura que está cursando el alumno.
Se puede analizar el rendimiento académico como una medida de las capacidades del…

In this paper, we present a new model of an artificial
immune system (AIS), based on the process
that suffers the T-Cell, it is called T-Cell
Model. It is used for solving constrained (numerical)
optimization problems. The model operates
on…

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…

Lawyers often need to look for previous similar legal cases when analysing new ones.
The more previous cases, the more time is spent. Classical search engines execute termbased retrieval, which may miss relevant documents as well as fetch several irrelevant…

This work describes a multi agent system designed to support the management of tacit knowledge that belongs to people of an organization. This is a distributed knowledge management system based on the use of mobile agents, which receive the user's…