Portada del libro de An Evolutionary Model for Indirect Collaboration
Título del libro:

An Evolutionary Model for Indirect Collaboration

Indirect Collaborative Evolution For the Facilitation of Group Intelligence in Nursing Care Plan Development

Scholars' Press (2013-10-23 )

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ISBN-13:

978-3-639-70024-4

ISBN-10:
3639700244
EAN:
9783639700244
Idioma del libro:
Inglés
Notas y citas / Texto breve:
This research focused on the application of Genetic Algorithm (GA) based methodologies to collaborative problem solving. Direct mechanisms for online asynchronous group work were compared to an indirect constrained group interaction model which was modeled after recombination used in traditional roulette wheel style GAs. This new methodology contributes to the existing literature by extending the work in the areas of Interactive Evolutionary Computation (IEC) and Human Based Genetic Algorithms (HBGA) by creating a hybrid approach, Indirect Collaborative Evolution (ICE), employing some of the methodological features found within IEC with the collaborative human-centric features of HBGA. This contribution is important as it presents a new means of facilitating group intelligence through indirect interactions (i.e., ‘cold collaboration) and provides new tools to collaborative rich fields, such as Nursing.
Editorial:
Scholars' Press
Sitio web:
http://www.scholars-press.com
Por (autor):
Daniel L. Sloat
Número de páginas:
168
Publicado en:
2013-10-23
Stock:
Disponible
Categoría:
Informática, IT
Precio:
79.90 €
Palabras clave:
collaboration, genetic algorithms, Online, Nursing, Human Based, Care Plans

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