This thesis looks for to facilitate the communication of the children with deficient of the speech by means of an electronic team where the SPC (Pictorial Symbols of Communication) to more than being visualized, they are listened, reproducing an audio…

The diffusion and the use of the Information and the Communication Technologies (ITC) are generating changes in all the levels of the economy (knowledge access, organization of the work, organization of the government or public services, among others). The ITC…

This paper uses dynamic general equilibrium and computational methods, inspired by the multi-sector growth model structure in Stephen Turnovsky’s previous and more recent work, to develop a theory that unifies two of the traditional explanations of structural change: sector-biased technical…

En este artículo, se presenta una propuesta con base en MDWE (Model Driven Web Engineering) para soportar trazabilidad (elemento-a-elemento) aplicando modelos weaving. El método de diseño Web A-OOH (Adaptive Object Oriented Hypermedia) es aplicado para representar el modelo de requisitos,…

El éxito en la búsqueda de conocimiento a partir de grandes cantidades de datos radica en la calidad de los mismos. Hasta ahora los aspectos de calidad de los datos se han enfocado principalmente a la limpieza de los datos:…

In reasoning about multi-agent systems, it is important to look beyond the realm of propositional logic and to reason about the knowledge of agents within the system, as what they know about the environment will affect how they behave. A…

Interest in curriculum is often divided between the work of curriculum theorists on one end and the manifestation of curriculum in the classroom on the other. Researchers are drawn to the study of both of these groups, but a third…

Semantic background knowledge is crucial for many intelligent applications. A classical way to represent such knowledge is through semantic networks. Wikipedia's hyperlink graph can be considered a primitive semantic network, since the links it contains usually correspond to semantic relationships…

Reinforcement Learning is a branch of Artificial Intelligence addressing the problem of single-agent autonomous sequential decision making. It proposes computational models which do not rely on the complete knowledge of the dynamics of stochastic environments. Options are a formalism used…

This thesis investigates possible origins of the distinction between consonant and dissonant auditory events and how persons with and without formal musical training judge the distinction. Two studies comprising six experiments used behavioral methods to explore perceptual and cognitive differences…