A fuzzy controller is usually designed by formulating the knowledge of a human expert into a set of linguistic variables and fuzzy rules. As it is well known, the use of prior knowledge can dramatically improve the performance and quality…

DLP is a basic java-based IDE specifically conceived for DeLP, that allows to compile DeLP programs and queries into JAM opcodes, execute those opcodes, and even witness the actual step by step construction of the dialectical tree that is built…

Teachers must be able to adapt to a rapidly changing IT knowledge and technology. This requirement is further compounded by the need that this knowledge and technology be incorporated in the curriculum at the same rate.
This paper presents a…

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…

The accomplishment of systems with abilities to reason about actions and change and systems that can manage incomplete or not very reliable information with abilities to discuss or argument has been of great importance for artificial intelligence community. These two…

Defeasible Logic Programming (DeLP) is a knowledge representation formalism that combines results from Logic Programming and Defeasible Argumentation to provide reasoning based on contradictory and potentially incomplete information. DeLP allows information representation by using weak rules and provides an argumentation…

El presente trabajo propone un modelo pedagógico basado en el conocimiento experto de docentes de la Facultad de Ingeniería de la UNMDP. Para su construcción, se ha usado el modelo de Anthony Grasha el cual propone una tipología fundamentada en…

In order to deal with the Ontology Change problem and considering an environment where Description Logics (DLs) are used to describe ontologies, the question of how to integrate distributed ontologies appears to be in touch with Belief Revision since DL…

When there is a need to understand the data stored in a database, one of the main requirements is being able to extract knowledge in the form of rules. Classification strategies allow extracting rules almost naturally. In this paper, the…

This paper introduces an automatic procedure to assist on the interpretation of a large dataset when a similarity metric is available.
We propose a visualization approach based on a graph layout method- ology that uses a Quadratic Assignment Problem (QAP)…