We examine semantic interoperability problems in the fixed income securities industry
and propose a knowledge representation architecture for context interchange
mediation to support dynamic integration of autonomous database, web, and
procedural sources of information. For sources and…

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This study addressed computer-supported collaborative scientific inquiries in Remote Networked Schools. Three dyads of grade 5-6 classrooms from remote locations collaborated using the knowledge-buildng tool Knowledge Forum. Customized scaffold supports embedded in the online tool were used to support student…

Representing a major public health concern, suicide is a leading cause of death worldwide. Generally regarded as a behavior with a multitude of state and trait dependent risk factors (e.g. psychiatric disorders, substance abuse, genetics), explanations as to why certain…

This study used a broad theoretical framework encompassing an ecosystem approach to HIV-1/AIDS that investigated: local knowledge of HIV-1/AIDS and other sexually transmitted infections (STIs); local knowledge of the nexus between HIV-1/AIDS and tuberculosis on one hand, and other STIs…

Taking as point of departure the basics of the economics of innovation, the Mexican evidence builds on two major obstacles: market failures inhibit economic returns to R&D and, consequently, the inexistence of a national innovation system. In such context, fiscal…

Cada vez son más las organizaciones del cuidado de la salud que requieren convertir sus datos de la memoria organizacional en conocimiento útil para apoyar los procesos del cuidado de la salud de los pacientes. Hoy en día es de…

Una de las preocupaciones principales de las organizaciones desarrolladoras de software es desarrollar el talento de su capital humano (los ingenieros de software), ya que la calidad e innovación en sus productos y servicios dependen en gran medida del conocimiento…

Reinforcement Learning has emerged as a useful framework for learning to perform a task optimally from experience in unknown systems. A major problem for such learning algorithms is how to balance optimally the exploration of the system, to gather knowledge,…

Humans have always been intrigued by their ability to reason. We have constantly attempted to emulate this process, trying almost everything, from physiological explanations, to sociological accounts. The approach with possibly the longest tradition conceives this process as a mere…