Previous work in software product lines showed an increment of up to 10 times in productivity and product quality [SEI Prod_Line]; because of this, the software product line approach is critical for the success of a development project including a…

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…

Las Naciones Unidas han proyectado que para cerca del año 2050, el planeta estará habitado diez mil millones de personas. Abastecer de alimentos a esa futura población con una dieta adecuada en cantidad y calidad es un desafío. La producción…

The horticulture at La Plata horticultural belt, is driven by different management types that are named and classified with different criteria. One 2-type classification refers to farmers, farms or management types named conventional, and organic, based in the general, more…

El texto presenta las obras ficcionales preferidas entre los lectores de Río de Janeiro en la primera mitad del ochocientos. Se hace una comparación con los libros de mayor difusión en Paris en el mismo período, observando de manera sincrónica…

Nuestro trabajo parte de proyectos de Extensión Universitaria en el territorio costero de Berisso, a 15 km. de la Facultad de Ciencias Agrarias y Forestales de La Plata. La finalidad del proceso de intervención fue mejorar las condiciones socio-económicas de…

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…

Current reasoning systems attempt to model an agent's knowledge and interaction with its environment in a symbolic manner. This environment, its world is generally dynamic and changing due to natural evolution or the actions of other agents that are a…

A fuzzy controller is usually designed by formulating the knowledge of a human expert into a set of linguistic variables and fuzzy rules. As it is well known, the use of prior knowledge can dramatically improve the performance and quality…

A fuzzy controller is usually designed by formulating the knowledge of a human expert into a set of linguistic variables and fuzzy rules. As it is well known, the use of prior knowledge can dramatically improve the performance and quality…