About fifteen years ago, the Electronic Engineering Department of the National Technological University of Buenos Aires was structured grouping the curricula in Knowledge Areas. One of them was the Digital Area. It was assumed that its contents should be changing…

Teniendo como marco de trabajo la cátedra de “Trabajo Profesional” de la Facultad de Ingeniería de la Universidad de Buenos Aires, se presenta una experiencia de desarrollo, en la que se trató de respetar el conocimiento teórico, el modelo así…

El presente artículo expone la línea de trabajo de algunos de los integrantes del Grupo de Investigación en Informática de Gestión, quienes han desarrollado una serie de herramientas para la Gestión del Conocimiento, tanto en entidades públicas como privadas. Las…

The field of machine learning (ML) is concerned with the question of how to construct algorithms that automatically improve with experience. In recent years many successful ML applications have been developed, such as datamining programs, information-filtering systems, etc. Although ML…

The development of isolated agents involves the manipulation of components such as actions, mental attitudes and decisions. Multi-agent systems have to deal with these components from different agents, without to forget the privacy and autonomy of each agent. For programming…

The notion of rational agency was proposed by Russell [9] as an alternative characterization of intelligence agency. Loosely speaking, an agent is said to be rational if it perfomns the right actions according to the information it possesses and the…

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…

Knowledge acquisition for systems based on knowledge can be called knowledge engineering, according to Feigenbaum (1980) who used the term to describe the reduction of a wide context of knowledge for a set of facts and rules. The term Knowledge…

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 ot…

In this article we will introduce certain considerations that must be taken into account while implementing the change operations of the belief change theory. The abstract models of bellief change make no considerations in respecto to the internal structures of…