Can you repeat this identifying the approaches authors with a special focus on each of these trade-offs do not limit the set to five if more are available
In systems thinking, a model is not an objective representation of reality but an epistemological device used to manage complexity. Choosing a model involves navigating a series of fundamental trade-offs. The sources identify these through the following authors and approaches:
1. Static vs. Dynamic
This trade-off balances the need for structural stability against the reality of perpetual change.
• Robert Pirsig (MOQ): Distinguishes between Static Quality (fixed patterns, customs, and laws that preserve order) and Dynamic Quality (the “pre-intellectual cutting edge” of reality that allows for freedom and evolution)[1].
• Sir Geoffrey Vickers: Contrasts Goal-Seeking (aiming for a static end-state or “stop”) with Relationship-Maintaining (the dynamic regulation of norms over time with no final “stop”)[2][3].
• Peter Senge: Opposes Linear Thinking (focusing on static “snapshots” and isolated events) with Systems Thinking (focusing on dynamic processes of change and feedback loops over time)[4][5].
2. Real vs. Abstract (Ontology vs. Epistemology)
This concerns the gap known as the “Epistemic Cut”—the difference between the material world and our symbolic descriptions of it[6][7].
• Dave Snowden (Cynefin): Argues the distinction is Ontological (the world contains different types of systems like “Ordered” or “Complex”) rather than just a state of mind[8][9].
• John Flach: Describes a Pluralistic Epistemology that balances the role of the Discoverer (the objective outsider observing reality) and the Inventor (the subjective participant constructing a model)[10][11].
• Stafford Beer & Michael McMaster: Contrast the Machine Metaphor (treating systems as objective, inert parts) with the Living System Metaphor (viewing systems as subjective flows of information and meaning)[12][13].
3. Simple/Complicated vs. Complex
This trade-off determines whether a system can be engineered through decomposition or must be influenced through stewardship.
• Alex Ryan & Dave Snowden: Distinguish Complicated Systems (decomposable, where the whole is the sum of parts and causality is knowable) from Complex Systems (interdependent, where properties emerge from relationships and causality is only clear in hindsight)[14][15].
• Howard Pattee: Contrasts Dynamical Systems Theory (single-level descriptions using state variables) with Hierarchy Theory (multi-level descriptions required for complexity, where higher levels constrain lower ones)[16][17].
4. Optimization vs. Satisficing (or “Coping”)
This trade-off is between seeking the theoretical “best” and finding a functional “good enough.”
• Herbert Simon: Challenges “Olympian” rationality (maximizing) with Bounded Rationality, advocating for Satisficing—searching for a course of action that is “good enough” to meet aspiration levels[18].
• Hylton Boothroyd: Critiques Mathematical Optimization (answering “which” action is best) in favour of Articulate Intervention (answering “what-if” to display consequences for human choice)[21][22].
• Nassim Nicholas Taleb: Warns that Optimization in complex systems creates Fragility; he advocates for Antifragility, which benefits from volatility and trial-and-error rather than rigid efficiency[23][24].
5. Closed vs. Open Systems
This concerns how much of the environmental context is included in the model.
• Fred Emery (OST): Distinguishes between Design Principle 1 (bureaucracy/closed systems that treat parts as replaceable) and Design Principle 2 (open systems that utilize active adaptation and transactions with the environment)[25][26].
• C. West Churchman: Warns against the Environmental Fallacy (treating a system as closed and ignoring externalities) and proposes “Sweeping In” variables from ethics, politics, and aesthetics[27][28].
• Niklas Luhmann: Introduces the paradox of Operational Closure, where autopoietic systems are “open” to energy/matter but “closed” in their internal logic and decision-making processes[29][30].
6. Direct vs. Systemic Causality
• George Lakoff: Contrasts Direct Causation (viewing the world as individual actors applying force) with Systemic Causation (recognizing indirect, diffuse, and interactive webs of causes)[31][32].
• Alicia Juarrero: Replaces Efficient Causality (Newtonian forceful impact) with Structuring/mereological Causality (where context and constraints alter the probability of events)[33][34].
7. Equilibrium vs. Far-from-Equilibrium
• Alicia Juarrero & Ilya Prigogine: Contrast Traditional Systems (equilibrium-seeking/homeostatic) with Complexity Theory (open systems far-from-equilibrium that undergo discontinuous phase transitions)[35].
• Dee Hock: Proposes the Chaordic approach, which thrives in far-from-equilibrium conditions at the “edge of chaos,” rather than seeking steady-state stability[38][39].
8. Descriptive vs. Normative
• Humberto Maturana vs. C. West Churchman: Maturana focuses on Descriptive Emergence (how systems self-produce or “is”), whereas Churchman focuses on Normative Design (how systems “ought to be” to secure human improvement)[40][41].
Which of these trade-offs—such as the tension between seeking an “optimal” solution versus a “good enough” one—is most relevant to the governance challenges you are currently exploring?
References
[1] 💬Distinctions.md [2] 💬Distinctions.md [3] 💬Gists.md [4] 💬Distinctions.md [5] 💬Gists.md [6] 💬Gists.md [7] 💬Nutshell (Process).md [8] 💬Distinctions.md [9] 💬Gists.md [10] 💬Perspectives.md [11] 💬Perspectives.md [12] 💬Distinctions.md [13] 💬What is Complexity.md [14] 💬Gists.md [15] 💬What is Complexity.md [16] 💬Distinctions.md [17] 💬Distinctions.md [18] 💬Gists.md [21] 💬Questions.md [22] 💬Questions.md [23] 💬What is Complexity.md [24] 💬Keywords + Jargon.md [25] 💬Distinctions.md [26] 💬What is Complexity.md [27] 💬Environment.md [28] 💬Gists.md [29] 💬Distinctions.md [30] 💬Gists.md [31] 💬Distinctions.md [32] 💬Nutshell (Process).md [33] 💬Keywords + Jargon.md [34] 💬Keywords + Jargon.md [35] 💬Distinctions.md [38] 💬Distinctions.md [39] 💬Gists.md [40] 💬Distinctions.md [41] 💬Distinctions.md