Desde la filosofía de la inclusión social y el criterio de los Derechos Humanos, la educación inclusiva en la primera infancia es fundamental para los niños con discapacidades; la escuela suele ser el ámbito donde sus necesidades educativas se reconocen…

Associating the pattern in text data with the pattern with time series data is a novel task. In this paper, an approach that utilizes the features of the time series data and domain knowledge is proposed and used to identify…

Decision making models for autonomous agents are recently receiving increased attention, particularly in the feld of intelligent robots. This work presents a Defeasible Logic Programming approach to decision making in an environment with single and multiple robots. We will show,…

The notion of rational agency was proposed by Russell [9] as an alternative characterization of intelligence agency. Loosely speaking, an agent is said to be rational if it perfomns the right actions according to the information it possesses and the…

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…

La siguiente investigación profundiza en el conocimiento de los procesos de trabajo de los trabajadores sociales en la contemporaneidad Argentina. A partir de un trabajo de campo, encuestas y entrevistas en profundidad a trabajadores sociales en ejercicio empleados en la…

The information in this chapter is the result of a research carried out between 2001 and 2005 on Mbya Guarani communities in the province of Misiones (Argentina) focused on the study of health – illness processes in the first stages…

The appearance and continuous growth of virtual communities on the web imposes the challenge of coping with the large amount of information and knowledge these communities produce. The Semantic Web with its set of standards and technologies provides the basic…

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…