This paper presents a proposal for an architecture that integrates knowledge discovery systems (automatic acquisition) and knowledge based systems (experts systems). This work formulates considerations over the viability of the implementation of this architecture according to the advance of the…

When using tableaux algorithms to reason about Description Logics (DLs), new information is inferred from the models considered while trying to achieve knowledge satisfiability. By focusing the ontology change problem, we consider an environment where DLs are the logical formalization…

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 paper presents a formal model for a knowledge repository shared by members of a Virtual Community of Practice (VCPs), describes how the repository can be used to underpin collaborative problem solving, and how to build computer support for such…

This article presents a procedure for constructing a taxonomy of COTS products in the field of Requirements Engineering (RE). The taxonomy and the obtained information reach transcendental benefits to the selection of systems and tools that aid to RE-related actors…

Component Based Software Development (CBSD) relies upon utilization of previously developed software components OTS (Off-The-Shelf), which are appropriately merged to satisfy particular system requirements. However, wide acceptance of this paradigm at industry requires efficient component identification and selection, aspects which…

The following research proposes a first approximation to the Dynamic Hypermedial Device modeling based on the analysis of interactions. In addition, the DEVS (Discrete EVents dynamic Systems) formalism is employed, which is particularly suitable for the modeling of discrete event…

This paper presents a neuro-fuzzy network where all its parameters can be tuned simultaneously using Genetic Algorithms. The approach combines the merits of fuzzy logic theory, neural networks and genetic algorithms. The proposed neuro-fuzzy network does not require a priori…

In a multi-agent system, a group of individ- uals interact in a social context in order to boost their capabilities and enhance global per- formance. Each individual's action repertoire may be reduced, but it's social capability allows it to interact…

The book is intended to be used in an introductory and intermediate level course on computer networks, both whitin Computer Science and Electric Engineering scopes. One of its characteristics is that the entire research software is presented in Java, but…