There are many areas in Computer Science where time plays an important role. Artificial Intelligence is one of them. In this particular area Defeasible Logic Programming (DeLP) was developed to cope with incomplete and potentially inconsistent information. This formalism combines…

The field of machine learning (ML) is concerned with the question of how to construct algorithms that automatically improve with experience. In recent years many successful ML applications have been developed, such as datamining programs, information-filtering systems, etc. Although ML…

The aim of this paper is to present an historical compendium of ISTEC’s activities in the region, highlighting its core ideas and principles, and how these have been successfully applied for the benefit of many higher education institutions. These aim…

Cultural differences play a very important role in matching computer interfaces to the expectations of users from different national and cultural backgrounds. But to date, there has been little systematic research as to the extent of such differences, and how…

El presente trabajo intenta profundizar el conocimiento de la composición étnica de la población aborigen del área del Río Pinturas, durante la primera mitad del siglo XX, que ha sido constatada a través de informantes locales, topónimos y documentos escritos…

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…

Este trabalho tem o objetivo de apresentar a percepção ambiental dos moradores do bairro Jardim Tangará, localizado na porção leste do município de São Carlos, São Paulo. Dentre os aspectos socioambientais abordados, deu-se ênfase á nascente localizada no bairro. Realizou-se…

Knowledge acquisition for systems based on knowledge can be called knowledge engineering, according to Feigenbaum (1980) who used the term to describe the reduction of a wide context of knowledge for a set of facts and rules. The term Knowledge…

Effective document retrieval using domain knowledge and semantics is one of the major challenges in Information Retrieval. Over the last years, there has been a growing interest in ontologies as an artifact for human knowledge representation and a critical component…

This study investigates an approach of knowledge discovery and data mining in insufficient databases. An application of Computational Taxonomy analysis demonstrates that the approach is effective in such a data mining process. The approach is characterized by the use of…