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…

Four different leaf extracts of B. microstachya var. massambabensis were studied to evaluate their antioxidant capacity by using three in vitro methods, with Ginkgo biloba and Trolox® as the standards. With the DPPH and ABTS·+ methods, the antioxidant activity of…

La amplia difusión del proceso de desarrollo basado en componentes, en particular en el dominio de aplicaciones geográficas, ha generado el surgimiento de una gran cantidad y variedad de componentes software orientados a satisfacer las necesidades de los desarrolladores. En…

In omplete information is a problem in many aspe ts of a tual environments. Further- more, in many s enarios the knowledge is not represented in a risp way. It is ommon to nd fuzzy on epts or problems with…

In this work two declarative approaches based on the BDI theory are studied, an agent programming language 3APL and an agent architecture that uses defeasible argumentation for knowledge representation and reasoning. Based on that study and considering that in 3APL…

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…

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…

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…