Procesos de Investigación Diplomado en Análisis de Datos De Sistemas Complejos Junio 22 de 2007.

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Procesos de Investigación Diplomado en Análisis de Datos De Sistemas Complejos Junio 22 de 2007

La Ciencia en la Sociedad Valor Total: = V 1 + V 2 + V 3 Valor Común: = V 1 x V 2 x V 3 Stefano Zamagni

KISS 1 Pregunta Observación + Lo que sabemos (marco conceptual) + curiosidad 2. Acción Qué comparamos? Diseño: ¿dónde y cuándo,qué medimos? Metodología: ¿Cómo? Selección y Análisis de Información 3. Reflección Qué implican los hallazgos, respecto a: - La pregunta original? - La acción realizada? - Resultados obtenidos? - Nuestro entorno? (generalización) El ciclo de Indagación Feinsinger

Investigador

Adaptado de Linda J. Vandergriff (2007) Complicado Versus Complejo Complicado viene de plegar, doblar Los sistemas complicados pueden desplegarse, desdoblarse, descomponerse y recombinarse sin pérdida de funcionalidad La mecánica newtoniana, por ejemplo, se basa en este concepto de que el universo, aún siendo complicado, puede descomponerse y entenderse como una mera suma de las partes Complejo viene de entrelazar, tejer, unir inextricablemente Un sistema complejo está entretejido, y si se tira de una hebra, se deshace Un sistema complejo está constituido de reglas y subsistemas que pueden ser simples o complicados. Un sistema complejo tiene comportamiento emergente basado en las relaciones e interacción entre sus partes. Es raro que las partes puedan destejerse sin perder su naturaleza Complicado es lo opuesto de simple Complejo es lo opuesto de independiente

Adaptado de Linda J. Vandergriff (2007) Each interface separately defined Evolutionary path prohibitive Never gets cheaper Each new system needs all I/Fs Minimal chance that additional system happens to be interoperable Interface Control Documents (ICDs) Complicated Common interface standards Simple Standard interfaces Defined once Used by all Evolutionary path identified Each system built to the same stds Can evolve in sync if stds evolve Better chance that additional system will be interoperable Both can be complex systems, one is complicated the other simple. Both can be complex systems, one is complicated the other simple. Achieving the Emergent Behavior of Interoperability

Adaptado de Linda J. Vandergriff (2007) Complex System Attributes Interconnectedness with the environment and itself Non-linearity of coupling Emergence of system properties and behaviors Self-organization to adapt to fitness landscape Complex System Definition: The term complex system formally refers to a system of many parts which are coupled in a nonlinear fashion. Natural complex systems are modeled using the mathematical techniques of dynamical systems, which include differential equations, difference equations and maps. Because they are nonlinear, complex systems are more than the sum of their parts because a linear system is subject to the principle of superposition, and hence is literally the sum of its parts, while a nonlinear system is not. (Wikipedia 2006)