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…

Component Based Software Development (CBSD) relies upon utilization of previously developed software components OTS (Off-The-Shelf), which are appropriately merged to satisfy particular system requirements. However, wide acceptance of this paradigm at industry requires efficient component identification and selection, aspects which…

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…

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…

This paper addresses the problem of contour line extraction from scanned topographic maps in poor condition. A novel method is developed, using knowledge of cartography and graphics to extract contours by removing other layers which overlay the contours, and reconstructing…

Evolutionary algorithms (EAs) are merely blind search algorithms, which only make use of the relative fitness of solutions, but completely ignore the nature of the problem. Their performance can be improved by using new multirecombinative approaches, which provide a good…

Nowadays information circulates quickly in a human organization, what generates an internal difficulty in preserving inside the organization essential information to support decision-making. Decision Support Systems (DSS) aiding organizational decision-making, had, up to now, rigid inferences machines restricted to the…

Knowledge representation models are very important in the design of intelligent agents because they provide with mechanisms to manage beliefs and their dynamics. In this paper, we propose the use of AnsProlog* as a knowledge representation language, and develop a…