In this paper a methodology for accesing scientific data repositories on data grids is proposed. This methodology is based on ontology specification and knowledge representation. The concept of Knowledge Perspective is introduced, as the action of applying particular scientific conjectures…

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…

In the last decade, several argument-based formalisms have emerged, with application in many areas, such as legal reasoning, autonomous agents and multi-agent systems; many are based on Dung’s seminal work characterizing Abstract Argumentation Frameworks (AF).
Recent research in the area…

Los sistemas de ayuda son conocidos también como sistemas de apoyo en línea y son esenciales en los procesos de interacción humano-computador, estos proporcionan información breve y concisa para resolver un problema puntual durante el trabajo del usuario, además pueden…

The development of systems with the ability to reason about change notion and actions has been of great importance for the artificial intelligence community. The definition and implementation of systems capable of managing defeasible, incomplete, unreliable, or uncertain information has…

El desarrollo alcanzado en los últimos años por las Tecnologías de Información y Comunicaciones (TICs) ha creado condiciones materiales y técnicas necesarias para una nueva revolución en el campo educativo. Asociado a estos cambios, el aprendizaje electrónico a través de…

Hoy en día, se puede afirmar, que las organizaciones que son innovadoras son aquellas que construyen y gestionan efectivamente sus recursos intangibles. Así, aparece la necesidad ineludible de proporcionar a las organizaciones los conocimientos que necesitan, donde los necesiten, cómo…

This paper proposes an original generic hierarchical framework in order to facilitate the modeling stage of complex autonomous robotics mission planning problems with action uncertainties. Such stochastic planning problems can be modeled as Markov Decision Processes [5]. This work is…

Given an instance of an optimization problem together with an optimal solution, we consider the scenario in which this instance is modified locally. In graph problems, e. g., a singular edge might be removed or added, or an edge weight…

In this paper, we present a novel model of an artificial immune system (AIS), based on the process that suffers the T-Cell. The proposed model is used for solving constrained (numerical) optimization problems. The model operates on three populations: Virgins,…