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…

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…

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…

James Reinders (Chief Evangelist of Intel® Software at Intel) and Jim Jeffers (Principal Engineer at Intel)
have gathered in this book the working knowledge of the people involved to prototype and productize the Intel® Xeon Phi coprocessor. This include…

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…

This work extends the semantics and implementation of fuzzy prolog presented in [VGM02] in order to include Default Knowledge capability. The new semantic allows non-uniform default assumptions and has Closed World Assumption (CWA) and Open World Assumption (OWA) as particular…

The Knowledge Engineering Suite is an ontology production method, based on relationship networks, for knowledge representation inside specific contexts. The production of these ontologies has three basic steps, since catching the client data, knowledge base creation, and information retrieval and…

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…