El conocimiento de la composición biotípica de una población de áfidos es importante para poder
prevenir daños que se producirían en cultivares seleccionados por su resistencia al ataque de áfidos
de distintos tipos. Con el propósito de analizar la composición…

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…

The goal of this work involves the developing of an argumentation-based formalism that an agent could use for constructing plans. In this formalism, agents will have certain knowledge about the world, and a set of actions that they will be…

The design of intelligent agents is a key issue for many applications. Although there is no universally accepted de nition of intelligence, a notion of rational agency has been proposed as an alternative for the characterization of intelligent agency.
Modeling…

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…

Este trabalho mostra uma forma de pensar concorrente. São utilizados algoritmos de grafos, algoritmo do menor caminho, para mostrar desde a especificação até a implementação de algoritmos concorrentes. Objetiva-se mostrar uma outra forma de ensinar a concorrência, sua teoria, propriedades…

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…

Artificial Intelligence has long dealt with the issue of finding a suitable formalization for reasoning with incomplete and potentially inconsistent information. Defeasible argumentation [SL92,CML00,PraVre99] has proven to be a successful approach in many respects, since it naturally resembles many aspects…

In the last years there has been an increasing demand of a variety of logical systems, prompted
mostly by applications of logic in AI, logic programming and other related areas. Labeled Deductive
Systems (LDS) were developed as a °exible methodology…