Model-oriented systems engineering science : a unifying framework for traditional and complex systems /
Systems engineering (SE) is experiencing a significant expansion that encompasses increasingly complex systems. However, a common body of knowledge on how to apply complex systems engineering (CSE) has yet to be developed. A combination of people and other autonomous agents, crossing organization bo...
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| Format: | eBook |
| Language: | English |
| Language Notes: | English. |
| Published: |
Boca Raton :
Auerbach,
2009.
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| Series: | Complex and enterprise systems engineering ;
2. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | Systems engineering (SE) is experiencing a significant expansion that encompasses increasingly complex systems. However, a common body of knowledge on how to apply complex systems engineering (CSE) has yet to be developed. A combination of people and other autonomous agents, crossing organization boundaries and continually changing, these hybrid systems are less predictable while being more self-organizing and adaptive than traditional systems. The growing pains of this evolution and the ever-widening reach of SE technology require an effective foundation for integrating traditional and comple. |
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| Physical Description: | 1 online resource (xxiii, 363 pages) : illustrations |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781420072525 1420072528 9780429117701 0429117701 |