Difference between revisions of "Systems Science"
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| − | This knowledge area (KA) provides a guide to some of the major developments in | + | ---- |
| + | '''''Lead Author:''''' ''Rick Adcock'', '''''Contributing Authors:''''' ''Gary Smith'' | ||
| + | ---- | ||
| + | This knowledge area (KA) provides a guide to some of the major developments in {{Term|Systems Science (glossary)|systems science}}, which is an interdisciplinary field of science that studies the nature of {{Term|Complex (glossary)|complex}} {{Term|System (glossary)|systems}} in nature, society, and {{Term|Engineering (glossary)|engineering}}. | ||
| − | This is part of the wider systems knowledge which can help to provide a common language and intellectual foundation | + | This is part of the wider systems knowledge which can help to provide a common language and intellectual foundation, and make practical systems {{Term|Concept (glossary)|concepts}}, {{Term|Principle (glossary)|principles}}, {{Term|Pattern (glossary)|patterns}} and tools accessible to {{Term|Systems Engineering (glossary)|systems engineering}} (SE) as discussed in the [[Foundations of Systems Engineering|Introduction to Part 2]]. |
==Topics== | ==Topics== | ||
| − | Each part of the SEBoK is divided into KAs, which are groupings of information with a related theme. The KAs in turn are divided into topics. This KA contains the following topics: | + | Each part of the SEBoK is divided into KAs, which are groupings of information with a related theme. The KAs, in turn, are divided into topics. This KA contains the following topics: |
* [[History of Systems Science]] | * [[History of Systems Science]] | ||
| − | * [[Systems Approaches]] | + | * The origins of [[Systems Approaches]] |
| + | * [[Complexity]] | ||
| + | * [[Emergence]] | ||
==Introduction== | ==Introduction== | ||
| − | + | Systems science brings together research into all aspects of systems with the goal of identifying, exploring, and understanding patterns of {{Term|Complexity (glossary)|complexity}} and {{Term|Emergence (glossary)|emergence}} which cross disciplinary fields and areas of application. It seeks to develop interdisciplinary foundations which can form the basis of theories applicable to all types of systems, independent of {{Term|Element (glossary)|element}} type or application; additionally, it could form the foundations of a meta-discipline unifying traditional scientific specialisms. | |
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| − | Systems science brings together research into all aspects of systems with the goal of identifying, exploring, and understanding patterns of | ||
The [[History of Systems Science]] article describes some of the important multidisciplinary fields of research of which systems science is composed. | The [[History of Systems Science]] article describes some of the important multidisciplinary fields of research of which systems science is composed. | ||
| − | A second article presents and contrasts the underlying theories behind some of the | + | A second article presents and contrasts the underlying theories and origins behind some of the classic {{Term|Systems Approach (glossary)|system approaches}} taken in applying systems science to real problems. |
| − | People who think and act in a systems way are essential to the success of both research and practice. Successful systems research will not only apply | + | People who think and act in a systems way are essential to the success of both research and practice. Successful systems research will not only apply {{Term|Systems Thinking (glossary)|systems thinking}} to the topic being researched but should also consider a systems thinking approach to the way the research is planned and conducted. It would also be of benefit to have people involved in research who have, at a minimum, an awareness of system practice and ideally are involved in practical applications of the theories they develop. |
==References== | ==References== | ||
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| − | <center>[[ | + | <center>[[Cycles and the Cyclic Nature of Systems|< Previous Article]] | [[Foundations of Systems Engineering|Parent Article]] | [[History of Systems Science|Next Article >]]</center> |
| − | SEBoK v. | + | <center>'''SEBoK v. 2.10, released 06 May 2024'''</center> |
[[Category:Part 2]][[Category:Knowledge Area]][[Category:Systems Science]] | [[Category:Part 2]][[Category:Knowledge Area]][[Category:Systems Science]] | ||
Latest revision as of 23:19, 2 May 2024
Lead Author: Rick Adcock, Contributing Authors: Gary Smith
This knowledge area (KA) provides a guide to some of the major developments in systems science, which is an interdisciplinary field of science that studies the nature of complex systems in nature, society, and engineering.
This is part of the wider systems knowledge which can help to provide a common language and intellectual foundation, and make practical systems concepts, principles, patterns and tools accessible to systems engineering (SE) as discussed in the Introduction to Part 2.
Topics
Each part of the SEBoK is divided into KAs, which are groupings of information with a related theme. The KAs, in turn, are divided into topics. This KA contains the following topics:
- History of Systems Science
- The origins of Systems Approaches
- Complexity
- Emergence
Introduction
Systems science brings together research into all aspects of systems with the goal of identifying, exploring, and understanding patterns of complexity and emergence which cross disciplinary fields and areas of application. It seeks to develop interdisciplinary foundations which can form the basis of theories applicable to all types of systems, independent of element type or application; additionally, it could form the foundations of a meta-discipline unifying traditional scientific specialisms.
The History of Systems Science article describes some of the important multidisciplinary fields of research of which systems science is composed.
A second article presents and contrasts the underlying theories and origins behind some of the classic system approaches taken in applying systems science to real problems.
People who think and act in a systems way are essential to the success of both research and practice. Successful systems research will not only apply systems thinking to the topic being researched but should also consider a systems thinking approach to the way the research is planned and conducted. It would also be of benefit to have people involved in research who have, at a minimum, an awareness of system practice and ideally are involved in practical applications of the theories they develop.
References
Works Cited
None.
Primary References
Checkland, P. 1999. Systems Thinking, Systems Practice. New York, NY, USA: John Wiley & Sons.
Bertalanffy, L. von. 1968. General System Theory: Foundations, Development, Applications, Revised ed. New York, NY, USA: Braziller.
Flood, R.L. 1999. Rethinking the Fifth Discipline: Learning within the Unknowable. London, UK: Routledge.
Additional References
None.