Difference between revisions of "Model-Oriented Systems Engineering Science"
m (Text replacement - "<center>'''SEBoK v. 2.5, released 15 October 2021'''</center>" to "<center>'''SEBoK v. 2.6, released 13 May 2022'''</center>") |
m (Text replacement - "SEBoK v. 2.9, released 20 November 2023" to "SEBoK v. 2.10, released 06 May 2024") |
||
| (5 intermediate revisions by 3 users not shown) | |||
| Line 10: | Line 10: | ||
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. | ||
| − | <center>'''SEBoK v. 2. | + | <center>'''SEBoK v. 2.10, released 06 May 2024'''</center> |
[[Category:Primary Reference]] | [[Category:Primary Reference]] | ||
Latest revision as of 22:05, 2 May 2024
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.