The six aspects of systemic inquiry represent the core “trade-offs” or axes of tension that a practitioner must navigate. Based on the sources, authors differ significantly on whether these aspects should be treated as objective realities (Order Pole) or observer-dependent constructs (Complexity Pole).
1. The Observer (Ontic vs. Epistemic)
This aspect addresses whether a system exists as a real-world object or as a mental filter.
• The Ontic/Realist View: Proponents like Dave Snowden argue that complexity can be a property of the known object; just as matter can be solid or gas, a system can be inherently “ordered” or “complex” regardless of the observer[1]. Fred Emery similarly grounds his work in “Naive Realism,” assuming two observers in the same position would see the same objective reality[2].
• **The Epistemic/Constructivist View:**Ross Ashby asserts that a system is not a physical thing but a list of variables selected by an observer based on their interests[3][4]. Peter Checkland explicitly shifts “systemicity” from the world to the process of inquiry, arguing we should only investigate the world “as if” it were a system[5][6]. Humberto Maturana famously notes that “everything said is said by an observer,” defining reality as a “multiversa” brought forth through the act of making distinctions[7][8].
2. Structure (Mechanism vs. Constraint)
This aspect defines how the internal components of a system relate to the whole.
• **The Mechanistic View:**Alan Kay describes this as the “clockwork” mindset, which assumes deterministic recipes where parts interact linearly, like gears in a machine[9]. Herbert Simon offers a slightly more complex view through “near-decomposability,” where interactions within a subsystem are stronger than interactions between them, allowing for modular analysis[10][11].
• **The Constraint-Based View:**Alicia Juarrero redefines causality not as forceful impact but as “structuring causality”—constraints that alter the probability of events[12]. Once a system self-organizes, the emergent whole imposes Governing Constraints top-down to regulate its parts[13][14]. Ashby argues that “organization” itself is simply the presence of constraints that restrict what is possible among a set of variables[15][16].
3. Variety (Attenuation vs. Absorption)
Derived from Ashby’s Law of Requisite Variety—“only variety can destroy variety”—this aspect concerns how a system handles environmental complexity[17][18].
• **Attenuation (Filtering):**John Warfield emphasizes the need to reduce the “cognitive burden” on the human mind (which is limited to roughly seven items) by using the Law of Triadic Compatibility to break concepts into sets of three[19][20]. Max Boisot defines this as a “cognitive strategy” using codification and abstraction to filter out noise[21].
• **Absorption (Matching):**Stafford Beer uses the Viable System Model (VSM) to ensure managers have enough internal variety to match the environment, often by amplifying the “signals” that matter while giving operational units the autonomy to handle their own local variety[22][23]. Snowden advocates for “requisite diversity,” using large human sensor networks to absorb different perspectives to detect weak signals of change[24][25].
4. Causality (Linear vs. Recursive)
This aspect determines how the system explains change and persistence.
• **Linear Causality:**Barry Richmond critiques this as “laundry list thinking,” where independent factors (A, B, and C) are seen as causes for an effect without influencing each other[26][27]. George Lakoff identifies “direct causation” as the tendency to view individual actors as applying force to achieve immediate results[28][29].
• **Recursive/Systemic Causality:**Richmond advocates for “closed-loop thinking,” where causes and effects are reciprocal and causality runs in circles[30]. Maturana describes systems as “structure-determined,” meaning external forces do not “instruct” the system to change; they merely trigger a change that is determined by the system’s own internal structure and history[31].
5. Uncertainty (Optimization vs. Resilience)
This aspect involves the goal of inquiry: finding a perfect answer or maintaining the ability to survive.
• Optimization: Traditional “hard” systems thinking assumes a “knowable” environment where one can predict outcomes and design “fail-safe” systems to reach a specific end-state precisely[34].
• **Resilience and Viability:**Stafford Beer focuses on Viability—the ability of a system to maintain a separate existence in flux[37][38]. Nassim Nicholas Taleb pushes this further with Antifragility, describing systems that actually benefit from stressors and chaos[39]. Simon argues that because human rationality is “bounded,” we cannot optimize; we must “satisfice” by finding solutions that are “good enough” to meet constraints[40][41].
6. Stance/Purpose (Teleological vs. Evolutionary)
This aspect balances intentional design against natural, emergent change.
• **Teleological (Ought):**C. West Churchman views systems thinking as an ethical crusade to “secure improvement” in the human condition, making purpose and value judgments central to design[42][43]. Russ Ackoff emphasizes “Idealized Design”—creating a system from scratch based on what it ought to be to dissolve current messes[44][45].
• **Evolutionary (Is):**Stafford Beer’s principle of POSIWID (“The Purpose Of a System Is What It Does”) suggests that a system’s true purpose is an emergent property observed in its behavior, not the stated intent of its designers[38][46]. Geoffrey Vickers argues that human systems are “relationship-maintaining” rather than just “goal-seeking,” meaning they constantly adjust their norms to survive an unpredictable “flux”[47].
Does this deeper dive into the specific authors’ interpretations of the six aspects help you see which logical “poles” are currently dominating your own project or situation?
References
[1] 💬Distinctions.md [2] 💬Perspectives.md [3] 💬Distinctions.md [4] 💬Gists.md [5] 💬Distinctions.md [6] 💬Keywords + Jargon.md [7] 💬Gists.md [8] 💬Perspectives.md [9] 💬Distinctions.md [10] 💬Keywords + Jargon.md [11] 💬Questions.md [12] 💬Keywords + Jargon.md [13] 💬Keywords + Jargon.md [14] 💬How To Guides.md [15] 💬Distinctions.md [16] 💬Gists.md [17] 💬Keywords + Jargon.md [18] 💬Nutshell (Process).md [19] 💬Gists.md [20] 💬Gists.md [21] 💬What is Complexity.md [22] 💬How To Guides.md [23] 💬Keywords + Jargon.md [24] 💬People Dynamics.md [25] 💬Perspectives.md [26] 💬Gists.md [27] 💬How To Guides.md [28] 💬Distinctions.md [29] 💬Environment.md [30] 💬Gists.md [31] 💬Distinctions.md [34] 💬Distinctions.md [37] 💬How To Guides.md [38] 💬Keywords + Jargon.md [39] 💬How To Guides.md [40] 💬Gists.md [41] 💬Gists.md [42] 💬Distinctions.md [43] 💬Gists.md [44] 💬Gists.md [45] 💬Nutshell (Process).md [46] 💬Gists.md [47] 💬Gists.md