Education involves a continuous process of exploration, acquisition, organization, integration and delivery of information and knowledge. In recent years, e-learning sites and applications have exponentially started to grow, being a central phenomenon for the industry and education fields. Key factors…

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

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En este artículo se analiza la manera como la biblioteca y la educación en general contribuyen a la generación de conocimiento. El trabajo se divide en cuatro temas que juntos nos dan una idea clara de la importancia que tiene…

This paper seeks to engage the organization theory community in contemporary
debates over the role of the corporation in American society by building a stakeholder
theory of the firm. We develop a set of normative premises and positivist propositions
derived…

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…

by Tulsi D. Ramchandani., Thesis (S.M.)--Massachusetts Institute of Technology, System Design & Management Program, 2002., "February 2002.", Includes bibliographical references (leaves 135-139).

En la historia de todas las sociedades, el conocimiento ha sido monopolizado por una élite, que lo utiliza para conservar el poder, se crearon limitantes para excluir a la masa de los saberes relevantes que otorgan la supremacía a unos…

Effective collaboration is essential for engineers at geographically dispersed locations to accomplish good design with less iteration. Over the last several years, more and more efforts have been put into such research as many industries have distributed their product development…

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.…