Difference between revisions of "Systems Science"

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This article summarizes the primary principles and concepts commonly used to describe [[System (glossary)|Systems (glossary)]].
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This Knowledge Area (KA) provides a guide to the major developments in [[Systems Science (glossary)]] which is a collective term for a group of theory and practice developed by researchers and practitioners applying [[Systems Thinking (glossary)]] to a range of problems.  This knowledge is not specific to Systems Engineering, but is part of a wider systems body of knowledge.  We have not attempted to capture all of the system knowledge here, but to identify those aspects relevant to the systems engineering body of knowledge.
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==Topics==
 
==Topics==
 
The topics contained within this knowledge area include:
 
The topics contained within this knowledge area include:
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*[[Emergence]]
 
*[[Emergence]]
  
==Principles and Concepts==
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==Development of System Thoery==
 
 
[[General System Theory (glossary)]] [[Acronyms|(GST)]] (von Bertalanffy, 1968) considers the similarities between systems from different domains as a set of common systems principles and concepts.  GST enables comparisons between systems that rely on different technologies, judging the goodness or completeness of a system, and developing domain-independent systems approaches which can form the basis of disciplines such as Systems Engineering.
 
 
 
*A '''principle''' is a rule of conduct or behavior.  To take this further, a principle is a “basic generalization that is accepted as true and that can be used as a basis for reasoning or conduct.” [WordWeb.com]  A principle can also be thought of as a “basic truth or law or assumption.” [ibid.] 
 
  
*A '''concept''' is an abstraction; a general idea inferred or derived from specific instances.  For example, by viewing a pet dog, one can infer that there are other dogs of that “type.”  Hence, from this observation (or perhaps a set of observations) the concept of a dog is developed in one's mind. Concepts are bearers of meaning, as opposed to agents of meaning and can only be thought about, or designated, by means of a name.  
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[[Systems Thinking (glossary)]] is an approach to understanding or intervening in systems, based on the principles and concepts of systems. In the [[System Thinking]] KA we give some basic definitions of systems thinking and the systems theory which supports it.
  
Principles depend on concepts in order to state a “truth. Hence, principles and concepts go hand in hand; principles cannot exist without concepts and concepts are not very useful without principles to help guide the proper way to act (Lawson and Martin 2008).
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The development of these theoretical ideas to a point where they can be consider be part of the cannon of Systems Thinking is like any other branch of science not a straight forward of linear process[[General System Theory (glossary)]] [[Acronyms|(GST)]] (von Bertalanffy, 1968) enables comparisons between systems that rely on different technologies, judging the goodness or completeness of a system, and developing domain-independent systems approaches which can form the basis of disciplines such as Systems Engineering.  While many researchers and practitioners have created GST concepts, these tend to be a stepping stone to theories and approaches.  This situation is made worse by the variety of domains and disciplines in which systems research is conducted and reported.
  
GST tends to concentrate on the principles and philosophy behind this idea.  “''Despite the importance of system concepts … we do not yet have a unified or integrated set (i.e. a system) of such concepts''” (Ackoff, 1971).  
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While the System of [[System-Concepts (glossary)]] presented in the [[Systems Thinking]] Knowledge Area is a powerful set of ideas for better understanding all kinds of systems it is not rigourous or complete.
  
While many researchers and practitioners have created GST concepts, these tend to be a stepping stone to theories and approaches.  This situation is made worse by the variety of domains and disciplines in which systems research is conducted and reported.  Ackoff proposes a '''system of "system concepts"''' to bring together the wide variety of concepts which have been proposed.  His 30 distinct concepts are grouped under four headings, or principles, “'''How Systems are formed'''”; “'''How Systems Change'''”; “'''How Systems Behave'''” and “'''How Systems Adapt and Learn'''”.  
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This Knowledge area describes the most important movements in Systems Science and presents a guide to the overlapping and sometimes contraditory theories it has created and used.
  
Lawson describes a system of "system concepts" (Lawson 2010) where systems are categorized according to Fundamental concepts, Types, Topologies, Focus, Complexity and Roles. Hitchins (Hitchins, 2009) defines a similar set of principles which also consider some of the issues of hierarchy and complexity of particular relevance to a system approach.
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==References==
 
==References==

Revision as of 20:10, 19 February 2012

This Knowledge Area (KA) provides a guide to the major developments in systems science which is a collective term for a group of theory and practice developed by researchers and practitioners applying systems thinking to a range of problems. This knowledge is not specific to Systems Engineering, but is part of a wider systems body of knowledge. We have not attempted to capture all of the system knowledge here, but to identify those aspects relevant to the systems engineering body of knowledge.

Topics

The topics contained within this knowledge area include:

Development of System Thoery

systems thinking is an approach to understanding or intervening in systems, based on the principles and concepts of systems. In the System Thinking KA we give some basic definitions of systems thinking and the systems theory which supports it.

The development of these theoretical ideas to a point where they can be consider be part of the cannon of Systems Thinking is like any other branch of science not a straight forward of linear process. general system theory (GST) (von Bertalanffy, 1968) enables comparisons between systems that rely on different technologies, judging the goodness or completeness of a system, and developing domain-independent systems approaches which can form the basis of disciplines such as Systems Engineering. While many researchers and practitioners have created GST concepts, these tend to be a stepping stone to theories and approaches. This situation is made worse by the variety of domains and disciplines in which systems research is conducted and reported.

While the System of System-Concepts (glossary) presented in the Systems Thinking Knowledge Area is a powerful set of ideas for better understanding all kinds of systems it is not rigourous or complete.

This Knowledge area describes the most important movements in Systems Science and presents a guide to the overlapping and sometimes contraditory theories it has created and used.


References

Works Cited

Bertalanffy, L. von. 1968. General System Theory: Foundations, Development, Applications, Revised ed. New York, NY, USA: Braziller.

Ackoff, R.L. 1971. "Towards a System of Systems Concepts". Management Science. 17(11).

Hitchins, D. 2009. "What Are the General Principles Applicable to Systems?" Insight 12(4).

Lawson, H. 2010. A Journey Through the Systems Landscape. London, UK: College Publications, Kings College.

Lawson, H., and J.N. Martin. 2008. "On the Use of Concepts and Principles for Improving Systems Engineering Practice". Proceedings of the 18th Annual International Council on Systems Engineering (INCOSE) International Symposium, 5-19 June 2008, Utrecht, The Netherlands.

Primary References

Checkland, P. 1999. Systems Thinking, Systems Practice. New York, NY, USA: John Wiley & Sons.

Hitchins, D. 2007. Systems Engineering: A 21st Century Systems Methodology. Hoboken, NJ, USA: John Wiley & Sons.

Hitchins, D. 2009. "What are the General Principles Applicable to Systems?" Insight. 12(4).

Page, S.E. 2009. Understanding Complexity. The Great Courses. Chantilly, VA, USA: The Teaching Company.

Sheard, S. A. and A. Mostashari. 2008. "Principles of Complex Systems for Systems Engineering." Systems Engineering. 12(1): 295-311.

Additional References

No additional references have been identified for version 0.75. Please provide any recommendations on additional references in your review.


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