The general objective of this thesis is the development of an adaptive technique for extracting knowledge in large databases. Nowadays, technology allows storing huge volumes of information. For this reason, the availability of techniques that allow, as a first stage,…

Se evaluó el nivel de conocimiento de la nueva Ley de bosque nativo y fomento forestal que poseen los pequeños propietarios forestales en dos territorios de la Cordillera de Nahuelbuta, en Chile. Para ello, se aplicó una encuesta a 53…

Las ciencias sociales en su versión clásica –adoptando como modelo a las ciencias naturales- se centraron en el estudio de los hechos empíricos con la pretensión de arribar a un conocimiento objetivo de la realidad. Desde este enfoque la ciencia…

The aim of this paper is to describe and discuss some results from an ethnographic research on Argentinian Mbya communities focused on representations and practices related to childrearing and development during the first stages of life course.
Firstly, I describe…

La amplia difusión del proceso de desarrollo basado en componentes, en particular en el dominio de aplicaciones geográficas, ha generado el surgimiento de una gran cantidad y variedad de componentes software orientados a satisfacer las necesidades de los desarrolladores. En…

The role of communities associated to a substrate as fundamental components of an aquatic system has been recognized by many authors. Although periphyton has been considered of great importance in shallow lakes, its inclusion in different ecological models has been…

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…

Fish disease diagnosis is a complicated process and requires high level of expertise, an expert system for fish disease diagnosis is considered as an effective tool to help fish farmers. However, many farmers have no computers and are not able…

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…

The development of systems with the ability to reason about change notion and actions has been of great importance for the artificial intelligence community. The definition and implementation of systems capable of managing defeasible, incomplete, unreliable, or uncertain information has…