The systems sciences are a broad array of fields. One way of conceiving of these is in three groups: fields that have developed systems ideas primarily through theory; those that have done so primarily through practical engagements with problem situations; and those that have applied ideas for other disciplines.6
Main articles: Chaos theory and Dynamical systems theory
Main article: Complex system
Main article: Control theory
Main article: Cybernetics
Main article: Information theory
Main article: Systems theory
See also: List of types of systems theory
Main article: Hierarchy theory
See also: Systems thinking
Main article: Critical systems thinking
Main articles: Operations research and Management science
Main article: Soft systems methodology
The soft systems methodology was developed in England by academics at the University of Lancaster Systems Department through a ten-year action research programme. The main contributor is Peter Checkland (born 18 December 1930, in Birmingham, UK), a British management scientist and emeritus professor of systems at Lancaster University.
Main article: Systems analysis
Systems analysis branch of systems science that analyzes systems, the interactions within those systems, or interaction with its environment,7 often prior to their automation as computer models. Systems analysis is closely associated with the RAND corporation.
Main article: Systemic design
Systemic design integrates methodologies from systems thinking with advanced design practices to address complex, multi-stakeholder situations.
Main article: Systems dynamics
See also: Social dynamics, Jay Forrester, and Donella Meadows
Main articles: Systems engineering and Systems design
Main article: Earth system science
Main article: Systems biology
Main article: Systems chemistry
Main article: Systems ecology
Main article: Systems psychology
Ison, Ray. Systems Practice: How to Act: In situations of uncertainty and complexity in a climate-change world, 2nd ed, 2017. Springer, p. 166. ↩
Ison, Ray. Systems Practice: How to Act: In situations of uncertainty and complexity in a climate-change world, 2nd ed, 2017. Springer, p. 33. ↩
Hammond, Ross A.; Dubé, Laurette (2012). "A systems science perspective and transdisciplinary models for food and nutrition security". Proceedings of the National Academy of Sciences. 109 (31): 12356–12363. Bibcode:2012PNAS..10912356H. doi:10.1073/pnas.0913003109. PMC 3411994. PMID 22826247. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3411994 ↩
G. E. Mobus & M. C. Kalton, Principles of Systems Science, 2015, New York:Springer. ↩
Philip M'Pherson (1974, p. 229); as cited by: Hieronymi, Andreas (2013). "Understanding Systems Science: A Visual and Integrative Approach" (PDF). Systems Research and Behavioral Science. 30 (5): 580–595. doi:10.1002/sres.2215.. He defined systems science as "the ordered arrangement of knowledge acquired from the study of systems in the observable world, together with the application of this knowledge to the design of man-made systems". /wiki/Philip_M%27Pherson ↩
Peter Checkland. 1981. Systems Thinking, Systems Practice. Chichester: Wiley. /wiki/Peter_Checkland ↩
Anthony Debons. "Command and Control: Technology and Social Impact" in: Advances in computers, Vol. 11. Franz L. Alt & Morris Rubinoff eds. (1971). p. 362 ↩
Center for Complex Adaptive Agent Systems Simulation Argonne National Laboratory (2007) Managing Business Complexity : Discovering Strategic Solutions with Agent-Based Modeling and Simulation: Discovering Strategic Solutions with Agent-Based Modeling and Simulation. Oxford University Press. p. 55 ↩
Derek K. Hitchins (2008) Systems Engineering: A 21st Century Systems Methodology. p. 100 ↩