Environmental assessments of regional development projects have been used in Mexico to determine where conflicts between conservation of biodiversity and resource extraction are likely to occur. Speciesrich areas have been acknowledged as a priority for conservation. However, biological information is…

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Evolutionary algorithms (EAs) are merely blind search algorithms, which only make use of the relative fitness of solutions, but completely ignore the nature of the problem. Their performance can be improved by using new multirecombinative approaches, which provide a good…

Reverse logistics activities require the ability to generate new knowledge to reduce high uncertainty and to solve problems resulting of these activities. In this sense the purpose of this research is to understand how the modes of knowledge conversion (Nonaka…

This paper outlines and exemplifies the features of Learning Study, a form of teacher action research which has the potential to create the conditions necessary for building pedagogical knowledge. Learning Study is a coalescence of lesson study, design based research…

This thesis investigates the recent growth of chaplaincy roles in community contexts. A gap in knowledge existed regarding how and why these roles were emerging at this time. The purpose of the research was to generate new insight into the…

The design of intelligent agents is a key issue for many applications. Although there is no universally accepted de nition of intelligence, a notion of rational agency has been proposed as an alternative for the characterization of intelligent agency.
Modeling…

An investigation was carried out on the contents of the architectural texts in order to illuminate written architectural knowledge. The thesis takes as its case study the required reading list for Introduction to Architecture course at Yale College, Yale University,…

This paper addresses the problem of recovering relative structure, in the form of an invariant, referred to as projective structure, from two views of a 3D scene. The invariant structure is computed without any prior knowledge of camera geometry, or…

This paper presents an adaptive learning model for market-making under the reinforcement learning framework. Reinforcement learning is a learning technique in which agents aim to maximize the long-term accumulated rewards. No knowledge of the market environment, such as the order…