Systems Thinking

Depiction of systems thinking about society

Systems thinking is a way of making sense of the complexity of the world by looking at it in terms of wholes and relationships rather than by splitting it down into its parts.^[1][2] It has been used as a way of exploring and developing effective action in complex contexts,^[3] enabling systems change.^[4][5] Systems thinking draws on and contributes to systems theory and the system sciences.^[6] See Donella Meadows, Thinking In Systems: A Primer^{[lower-alpha 1]}

History

Ptolemaic system versus the Copernican system

The term system is polysemic: Robert Hooke (1674) used it in multiple senses, in his System of the World,^[17]:p.24 but also in the sense of the Ptolemaic system versus the Copernican system^[18]:450 of the relation of the planets to the fixed stars^[19] which are cataloged in Hipparchus and Ptolemy's Star catalog.^[20] Hooke's claim was answered in magisterial detail by Newton's (1687) Philosophiæ Naturalis Principia Mathematica, Book three, The System of the World^{[21]:Book three} (that is, the system of the world is a physical system).^[17]

Newton's approach, using dynamical systems continues to this day.^[18] In brief, Newton's equations (a system of equations) have methods for their solution.

Feedback control systems

System output can be controlled with feedback.

By 1824 the Carnot cycle presented an engineering challenge, which was how to maintain the operating temperatures of the hot and cold working fluids of the physical plant.^[22] In 1868 James Clerk Maxwell presented a framework for, and a limited solution to the problem of controlling the rotational speed of a physical plant.^[23] Maxwell's solution echoed James Watt's (1784) centrifugal moderator (denoted as element Q) for maintaining (but not enforcing) the constant speed of a physical plant (that is, Q represents a moderator, but not a governor, by Maxwell's definition).^{[24][lower-alpha 2]}

Maxwell's approach, which linearized the equations of motion of the system, produced a tractable method of solution.^{[24]:428–429} Norbert Wiener identified this approach as an influence on his studies of cybernetics^{[lower-alpha 3]} during World War II^[24] and Wiener even proposed treating some subsystems under investigation as black boxes.^[28]:242 Methods for solutions of the systems of equations then become the subject of study, as in feedback control systems, in stability theory, in constraint satisfaction problems, the unification algorithm, type inference, and so forth.

Applications

"So, how do we change the structure of systems to produce more of what we want and less of that which is undesirable? ... MIT’s Jay Forrester likes to say that the average manager can ... guess with great accuracy where to look for leverage points—places in the system where a small change could lead to a large shift in behavior".^[29]:146— Dana Meadows, (2008) Thinking In Systems: A Primer p.146

Characteristics

System boundary in context

System input and output allows exchange of energy and information across boundary.

• "...What is a system? A system is a set of things ... interconnected in such a way that they produce their own pattern of behavior over time. ... But the system’s response to these forces is characteristic of itself, and that response is seldom simple in the real world".—Dana Meadows^[29]:2

  • Subsystems serve as part of a larger system, but each comprises a system in its own right. Each frequently can be described reductively, with properties obeying its own laws, such as Newton's System of the World, in which entire planets, stars, and their satellites can be treated, sometimes in a scientific way as dynamical systems, entirely mathematically, as demonstrated by Johannes Kepler's equation (1619) for the orbit of Mars before Newton's Principia appeared in 1687.
  • Black boxes are subsystems whose operation can be characterized by their inputs and outputs, without regard to further detail.^{[29]:87–88[30]}
• "system: (1) An integrated whole even though composed of diverse, interacting, specialized structures and subjunctions".^[27]:582
  • Political systems were recognized as early as the millennia before the common era.^[31][32]
  • Biological systems were recognized in Aristotle's lagoon ca. 350 BCE.^[33][34]
  • Economic systems were recognized by 1776.^[35]
  • Social systems were recognized by the 19th and 20th centuries of the common era.^[36][37]
  • Radar systems were developed in World War II in subsystem fashion; they were made up of transmitter, receiver, power supply, and signal processing subsystems, to defend against airborne attacks.^[38]
  • Dynamical systems of ordinary differential equations were shown to exhibit stable behavior given a suitable Lyapunov control function by Aleksandr Lyapunov in 1892.^[39]
  • Thermodynamic systems were treated as early as the eighteenth century, in which it was discovered that heat could be created without limit, but that for closed systems, laws of thermodynamics could be formulated.^[40] Ilya Prigogine (1980) has identified situations in which systems far from equilibrium can exhibit stable behavior;^[41] once a Lyapunov function has been identified, future and past can be distinguished, and scientific activity can begin.^{[40]:212–213}

Systems far from equilibrium

Living systems are resilient,^[12] and are far from equilibrium.^{[29]:Ch.3[41]} Homeostasis is the analog to equilibrium, for a living system; the concept was described in 1849, and the term was coined in 1926.^[42][43]

Resilient systems are self-organizing;^{[12][lower-alpha 4][29]:Ch.3 [44]}

The scope of functional controls is hierarchical, in a resilient system.^{[12][29]:Ch.3}

Frameworks and methodologies

Frameworks and methodologies for systems thinking include:

• Critical systems heuristics:^[45] in particular, there can be twelve boundary categories for the systems when organizing one's thinking and actions.^[45]
• Critical systems thinking, including the E P I C approach.
• Ontology engineering of representation, formal naming and definition of categories, and the properties and the relations between concepts, data, and entities.
• Soft systems methodology, including the CATWOE approach, for example.
• Systemic design, for example using the double diamond approach.
• System dynamics of stocks, flows, and internal feedback loops.
• Viable system model: uses 5 subsystems 1 2 3 4 5.

See also

• Conceptual systems
• Management cybernetics
• Operational research
• Systems Engineering

Notes

References

Sources

• Russell L. Ackoff (1968) "General Systems Theory and Systems Research Contrasting Conceptions of Systems Science." in: Views on a General Systems Theory: Proceedings from the Second System Symposium, Mihajlo D. Mesarovic (ed.).
• A.C. Ehresmann, J.-P. Vanbremeersch (1987) Hierarchical evolutive systems: A mathematical model for complex systems" Bulletin of Mathematical Biology Volume 49, Issue 1, Pages 13–50
• NJTA Kramer & J de Smit (1977) Systems thinking: Concepts and Notions, Springer. 148 pages
• A. H. Louie (November 1983) "Categorical system theory" Bulletin of Mathematical Biology volume 45, pages 1047–1072
• DonellaMeadows.org Systems Thinking Resources
• Gerald Midgley (ed.) (2002) Systems Thinking, SAGE Publications. 4 volume set: 1,492 pages List of chapter titles
• Robert Rosen. (1958) “The Representation of Biological Systems from the Standpoint of the Theory of Categories". Bull. math. Biophys. 20, 317–342.
• Peter Senge, (1990) The Fifth Discipline

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