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…

This work belongs to the Project "Teaching and learning Psychology: a study of the educational practice in professors and beginners". It is part of an investigation program developed in the context of the subject "Didactic and Practical Planning of Psychology…

The Intellectual Creation Diffusion Service (SeDiCi) of the UNLP was created with the main objective of communicating to the society all the knowledge acquired in different academic fields of our university. This is how we can return all the efforts…

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…

This study is aimed to explore the predictors of medication adherence in a hypertensive population of Pakistan. A questionnaire-based cross sectional analysis was undertaken. A prevalence based sample of 385 hypertensive patients was selected from two tertiary care hospitals. Hypertension…

The aim of the study was to check the association of the Morisky Medication Adherence Scale with the prescription complexity and with the patient’s level of knowledge about the prescription. A cross-sectional study was conducted by means of an interview…

The main characteristics of Darwin's life and work will be examined, as well as the developments which occurred after his death, especially neodarwinism and the synthetic theory of organic change. In which ways the extraordinary progress made in the field…

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…

Complex control tasks may be solved by dividing them into a more specific and more easily handled subtasks hierarchy. Several authors have demonstrated that the incremental layered evolution paradigm allows obtaining controllers capable of solving this type of tasks. In…

This work is focussed on the development and analysis of a new class of algorithms, called cellular memetic algorithms (cMAs), which will be evaluated here on the satisfiability problem (SAT). For describing a cMA, we study the effects of adding…