In the restricted single-machine common due date problem the goal is to find a schedule for the n jobs which jointly minimizes the sum of earliness and tardiness penalties, while for the weighted tardiness problem the goal is to find…

The aim of this work is to analyze the knowledge interchange on multi-agent systems using shared knowledge areas. The project involves the analysis and reformulation of some aspects of the Linda model, adding new model level features. This work proposes…

The purpose of this paper is to describe how some theorems about constructions in categories can be seen as a way of doing generic programming. No prior knowledge of category theory is required to understand the paper.
We explore the…

En este trabajo realizo una reflexión metodológica acerca de la incorporación de una técnica utilizada en el campo de las etnociencias a un estudio etnográfico sobre las experiencias formativas de niños indígenas y campesinos del noreste argentino. Dado que mi…

Este trabajo ha tenido como objetivo examinar el desempeño en lectura y escritura de niños que asisten a instituciones escolares primarias de la ciudad de La Plata. Su interés radica en la importancia que adquiere alcanzar niveles competentes de alfabetización…

The genetic algorithms have seen applied in knowledge discovery and specially for discovering association rules. In this paper, we explore the use of di erent rule quality measures in the tness function in a genetic algorithm for discovering association rules.…

The article describes the proposition and implementation of a demonstration, learning and decision support system for the resolution of combinatorial optimization problems under multiple objectives. The system brings together two key aspects of higher education: research and teaching. It allows…

The theory change area have defined several operators trying to model the dynamic of knowledge. The goal of this work is to introduce a preprocessor of perceptions that could be part of an agent. The purpose of the preprocessor is…

The main advantage of a recurrent architecture is the ability to store information from prior system states. A recurrent fuzzy controller includes hidden fuzzy variables which makes the controller more appropriate to deal with dynamic systems. We are currently investigating…

This paper proposes an original generic hierarchical framework in order to facilitate the modeling stage of complex autonomous robotics mission planning problems with action uncertainties. Such stochastic planning problems can be modeled as Markov Decision Processes [5]. This work is…