In this paper, we study the asset pricing implication of imprecise knowledge about rare events. Modeling rare events as jumps in the aggregate endowment, we explicitly solve the equilibrium asset prices in a pure-exchange economy with a representative agent who…

This paper presents a knowledge-based approach for capturing data and rationale, so
that the experience and insights gained while pursuing a major project or endeavor can
be utilized when pursuing future endeavors of a similar nature. The proposed

La poética de Rosamel del Valle ha sido comentada elogiosamente por los principales críticos literarios de su época. Estos
comentarios fueron apareciendo en diarios, revistas y publicaciones difíciles de conseguir en la actualidad. Este trabajo nos presenta un valiosísimo…

Complex goods and processes require ever more sophisticated and specialized knowledge; harnessing multiple kinds of expertise to execute tasks, solve problems, and develop strategies is increasingly critical to organizations' survival. When specialists come together, however, they often speak in different…

An increasing number of organizations are involved in the development of strategic
information systems for effective linkages with their suppliers, customers, and other
channel partners involved in transportation, distribution, warehousing and maintenance
activities. An efficient inter-organizational inventory…

Learning from experience, the cyclical interplay of thinking and doing, is increasingly
important as organizations struggle to cope with rapidly changing environments and more
complex and interdependent sets of knowledge. This paper confronts two central issues
for organizational learning: (1)…

Seroepidemiological studies have demonstrated that the presence of the tapeworm carrier in the household or in the close environment is the main risk factor associated to human and swine cysticercosis. Intervention measures evaluated are: 1) Mass treatment against the adult…

En este artículo proponemos dos alternativas para el tratamiento de consultas degradadas en aplicaciones de Recuperación de Información en español. La primera de ellas es una estrategia basada en n-gramas de caracteres e independiente del conocimiento y recursos lingüísticos disponibles.…

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.…

Nuestro trabajo tiene como objetivo principal, la formulación de un modelo explicativo de la adquisición del aprendizaje complejo, y por extensión, del desarrollo inicial de la competencia
experta en un dominio específico. Modelo que tiene en cuenta los principales aspectos…