This thesis proposes a knowledge based expert system tool that can be used as an on- line controller for the charging/discharging of an energy storage system in a wind-diesel microgrid. The wind-diesel microgrid is modelled, and a typical energy storage…

Assisted reproduction has been used to optimize reproduction in goats. Ultrasound technology has resulted in a definite gain of knowledge in terms of ovulation time. The aim of this study was to evaluate if the shift (morning or afternoon) of…

This thesis examines the transmission of intergenerational cultural knowledge on eastern James Bay Cree lands. Geospatial technologies and the representation of Cree knowledge are explored, with emphasis on the geoweb. A geoweb with two parts, old and new, is theorized…

ABSTRACT: Transgenic crops have being grown in Brazil since 1995, however regulation for such crops only came into force in 2005, granting a key role to CTNBio (National Technical Committee on Biosafety). There are currently 19 transgenic varieties growing in…

The knowledge of spatial variability soil properties is useful in the rational use of inputs, as in the site specific application of lime and fertilizer. The objective of this work was to map and evaluate the spatial variability of the…

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…