Robots have become usual collaborators in our daily life. While robotic systems grow to be more and more complex, the need to engineering their software development process grows as well. Traditional approaches that are used in the development process of…

This study attempts to conceptualise the right to forget/be forgotten along with building a theoretical foundation of this individual’s right and validating the social importance of establishing the right, which is characterised as a nearly fundamental human right to protect…

The present paper is about applying competence modeling for a knowledge engineer in the case of the company WBSA Sistemas Inteligentes S.A. The process was based on Lucia and Lepsinger model, by which competences are characterized through the identification of…

The goal of this work involves the developing of an argumentation-based formalism that an agent could use for constructing plans. In this formalism, agents will have certain knowledge about the world, and a set of actions that they will be…

There exists a large amount of knowledge representation models. But most of them have significant limitations at the epistemic level. They do not have explanatory power. Most of them do not have means to represent some functional needs to work…

The aim of this work is to relate two apparently independent concepts as belief revision and relevance. We propose a formal characterization for the notion of (ir)relevance by means of a set of postulates. Then we define (ir)relevance using change…

This paper deals with lifelong learning. Based on a three-year case study it provides evidence of innovations in this area. The paper aims to add to the body of work in blended learning by providing evidence of knowledge, persuasion, decision,…

This paper presents a group of elements to improve the teaching and learning in technological education, applied to Information and Communication Technologies (ICT). These elements are based on some contributions issued from contemporary education models, namely, the thematic approach, meaningful…

Decision tree learning algorithms have been successfully used in knowledge discovery. They use induction in order to provide an appropriate classification of objects in terms of their attributes, inferring decision tree rules. This paper reports on the use of ID3…

Much effort has been dedicated to provide a general model of agents working in complex environments. This research focuses on the high level cognition used in determining the behavior of the agent.
The language of the Situation Calculus represents a…