Resumen
El trabajo formula un modelo computacional basado en agentes para comprender el comportamiento migratorio de la clase creativa y los tipos de aglomeración urbana associados a esta, así como la relación de estos tipos con el potencial creativo. En la formulación del modelo, fueron utilizados conceptos de geografía evolutiva económica, teoría de redes y literatura de economía creativa. El modelo simula el aprendizaje, interacción y migración de agentes, considerando diversidad étnica, política y sexual, así como los servicios urbanos y oportunidades de empleo como factores de atracción de la clase creativa. Como resultado, se observa una relación exponencial entre el potencial creativo y la población de una localidad, sugiriendo una ventaja relativa y absoluta de grandes centros en lo que respecta al potencial para innovar. Considerando las variables que interfieren en la velocidad de crecimiento del potencial creativo, la cantidad de conocimiento intercambiado entre los agentes parece ejercer un efecto potencializador superior al número de interacciones entre agentes.
Citas
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