2009

Mémoire numérisé par la Division de la gestion de documents et des archives de l'Université de Montréal

Brazil nut is widely recognized as the cornerstone of the Amazonian extractive economy. Tight linkages between Brazil nut production, regional income, and intact mature forests have thrust this species into focus as a key component of Amazonian conservation and income…

There are different approaches used by mathematics teacher educators to help pre-service primary teachers develop the useful skills and knowledge required to teach mathematics. One of these approaches is concerned to learning to notice relevant aspects in mathematics teaching. But…

Purpose – The idea that knowledge management can be a potential source of competitive advantage has gained strength in the last few years. However, a number of business actions are needed to generate an appropriate environment and infrastructure for knowledge…

After an impressive development throughout the last two decades, supported by a great
amount of research and innovation, science education seemed to be becoming a new scientific domain.
This transformation of Science Education into a specific field of research and…

In this work two declarative approaches based on the BDI theory are studied, an agent programming language 3APL and an agent architecture that uses defeasible argumentation for knowledge representation and reasoning. Based on that study and considering that in 3APL…

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…

An important tool for teaching is used at University of Alicante: the virtual campus. We think that information and communication technologies can help us to improve our teaching. Last year, we prepared some materials for our students and checked whether…

Most neural network learning algorithms cannot use knowledge other than what is provided in the training data. Initialized using random weights, they cannot use prior knowledge such as knowledge stored in previously trained networks. This manuscript thesis addresses this problem.…