A solution of problems in multiagent systems involves representing beliefs of agents immersed in dynamic environments. Observation-based Defeasible Logic Programming (ODeLP) is an argument-based logic programming language that is used to represent an agent’s knowledge in the context of a…

Descoberta de Conhecimento em Bases de Dados" ("Knowledge Discovery in Databases", KDD) é um processo composto de várias fases iniciando com a coleta de dados para o problema e finalizando com a avaliação dos resultados finais. Este trabalho objetiva mostrar…

In the last decade several ways to formalize defeasible reasoning have been studied. A particular approach, defeasible argumentation, has been particularly successful to achieve this goal.
The inference process of argument-based systems is based on the interaction of ar- guments…

The notion of context and its importance in knowledge representation and nonmonotonic reasoning was first discussed in Artificial Intelligence by John McCarthy.
Ever since, contexts have found many applications in developing knowledge-based reasoning systems.
Defeasible argumentation has gained wide acceptance…

The problem of speeding up ínference has proved to be important in argumentative systems. When computing dialectical structures, several paths are searched (called argumentation lines), many of which will eventually prove useless. Morover, the performance of backward chainers degrades quickly…

En [2] Gerhard Brewka realizó una reconstrucción de la Teoría de Disputación Formal de Nicholas Rescher [5]. En su trabajo, Brewka completó la formalización de la presentación de Dialectics:
A Controversy-Oriented Approach to the Theory 01 Knowledge. El formalismo no..monótono…

The tools for fault impact analysis are important for the deployment of critical mission systems. These tools can be also used as a development phase aid. We introduce several concepts related to "business alarms". Business alarms are an approximation to…

La Creación del Centro Brasil fue consecuencia de la preocupaciín de los miembros del Departamento de América Latina y el caribe del IRI, por contar con un área especializada en el estudio de los principales aspectos sociales, políticos, legales y…

It is commonly acknowledged that we need to accept and handle uncertainty when reasoning with real world data. The most profoundly studied measure of uncertainty is the probability. However, the general feeling is that probability cannot express all types of…

In this work, we discuss aspects of a framework to support the understanding and the improvement in hypermedia development processes. The framework is built taking into account two modeling approaches and four domain levels. The modeling approaches are called prescriptive…