Difference between revisions of "Model-Oriented Systems Engineering Science"

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This text presents methodologies that utilize systems science (SS) to support the transition, identifying and using commonalities between complex systems and other sciences, such as biology, sociology, cognitive science, etc. The text introduces the model-oriented systems engineering science (MOSES) concept as an organized system that selects appropriate information from multiple disciplines and unifies it into a coherent framework resulting in a seamless approach to develop an enhanced and unified SE.
 
This text presents methodologies that utilize systems science (SS) to support the transition, identifying and using commonalities between complex systems and other sciences, such as biology, sociology, cognitive science, etc. The text introduces the model-oriented systems engineering science (MOSES) concept as an organized system that selects appropriate information from multiple disciplines and unifies it into a coherent framework resulting in a seamless approach to develop an enhanced and unified SE.
  
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[[Category:Primary Reference]]
 
[[Category:Primary Reference]]

Revision as of 21:09, 2 June 2019

Hybertson, D.W. 2009. Model-Oriented Systems Engineering Science: A Unifying Framework for Traditional and Complex Systems. Boston, MA, USA: Auerbach Publications. ISBN 978-1-4200-7251-8.

Usage

This source is considered a primary reference for the following articles:

Annotation

This text presents methodologies that utilize systems science (SS) to support the transition, identifying and using commonalities between complex systems and other sciences, such as biology, sociology, cognitive science, etc. The text introduces the model-oriented systems engineering science (MOSES) concept as an organized system that selects appropriate information from multiple disciplines and unifies it into a coherent framework resulting in a seamless approach to develop an enhanced and unified SE.

SEBoK v. 2.0, released 1 June 2019