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…

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…

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…

Classical methods for representing and reasoning with knowledge rely on the assumption that the available information is complete, certain and consistent. In real-world problems this is usually not the case, and Al has long dealt with the issue of finding…

In an m-machines n-jobs flow-shop sequencing problem each job consists of m operations and each operation requires a different machine, so n jobs have to be processed in the same sequence on m machines. The processing time of each job…

We faced with a society identified as a knowledge society, characterized by the rapid development of scientific and technological knowledge, the trends to new ways of working, studying, creating and sharing knowledge, is seen in organizations, and particularly in the…

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,…

This paper explores the relation between society, family, and learning. In particular, it addresses the features of home literacy environments in low income families and their impact on children's pre-literacy skills and knowledge. Sixty-two four/five-year-old children and their mothers were…

Ontology integration is the problem of combining data sources in the SemanticWeb. Concepts in source ontologies are captured in terms of concepts de ned in a global ontology. When some of these ontologies are inconsistent, the knowledge engineer often has…