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

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<blockquote>Hybertson, D.W. 2009. ''Model-Oriented Systems Engineering Science: A Unifying Framework for Traditional and Complex Systems''. Auerbach Publications. ISBN # 978-1-4200-7251-8.</blockquote>
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<blockquote>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.</blockquote>
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==Usage==
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This source is considered a primary reference for the following articles:
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*[[Service Systems Engineering Stages]]
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*[[Principles of Systems Thinking]]
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*[[Patterns of Systems Thinking]]
  
 
==Annotation==
 
==Annotation==
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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.
  
===Service Systems Engineering Stages===
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<center>'''SEBoK v. 2.2, released 15 May 2020'''</center>
Annotation for Article 3.
 
  
 
[[Category:Primary Reference]]
 
[[Category:Primary Reference]]

Latest revision as of 08:00, 10 May 2020

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. 2.2, released 15 May 2020