La finalidad de este proyecto es la de generar una metodología, con las técnicas y herramientas corerspondientes; para brindar información relativa al costo de desarrollo de un Sistema Experto. En base a la propuesta, los CIO´s (Chief Information Officer) podrán…

Desde el Laboratorio Pericial Informático del Poder Judicial del Neuquén se impulsan actividades de I+D orientadas a la gestión del conocimiento aplicada al peritaje informático.
Se pretende generar un cuerpo de conocimientos que sea útil para la formación de profesionales…

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…

This article presents a procedure for constructing a taxonomy of COTS products in the field of Requirements Engineering (RE). The taxonomy and the obtained information reach transcendental benefits to the selection of systems and tools that aid to RE-related actors…

Current reasoning systems attempt to model an agent's knowledge and interaction with its environment in a symbolic manner. This environment, its world is generally dynamic and changing due to natural evolution or the actions of other agents that are a…

DLP is a basic java-based IDE specifically conceived for DeLP, that allows to compile DeLP programs and queries into JAM opcodes, execute those opcodes, and even witness the actual step by step construction of the dialectical tree that is built…

The Semantic Web attempts to reach a state in the future where everything on the Web will no longer be only machine-readable, but also machine-understandable. An ontology is an explicit specification of a conceptualization. A conceptualization is an abstract, simplified…

This paper presents a neuro-fuzzy network where all its parameters can be tuned simultaneously using Genetic Algorithms. The approach combines the merits of fuzzy logic theory, neural networks and genetic algorithms. The proposed neuro-fuzzy network does not require a priori…

Complex control tasks may be solved by dividing them into a more specific and more easily handled subtasks hierarchy. Several authors have demonstrated that the incremental layered evolution paradigm allows obtaining controllers capable of solving this type of tasks. In…

This work is focussed on the development and analysis of a new class of algorithms, called cellular memetic algorithms (cMAs), which will be evaluated here on the satisfiability problem (SAT). For describing a cMA, we study the effects of adding…