02. Expanded Framing

I need this to include more authors and to be presented as a set of wayfinder questions to navigate the alternative assumptions behind the various points of view

To navigate the vast and often contradictory landscape of systems thinking and complexity science, we must shift from looking for a single “correct” methodology to interrogating the hidden assumptions we bring to a problematic situation.

Drawing on the expanded breadth of these authors, I have synthesized a Wayfinder Framework. This framework is structured as a series of navigational questions designed to expose the alternative assumptions behind different points of view. By asking these questions, you can dynamically select the right epistemological lens for the specific “mess” you are facing.

Wayfinder 1: The Assumption of Reality (Ontology vs. Epistemology)

Question: Are we treating the “system” as a physical object to be engineered, or as a mental construct used to make sense of confusion?

• The Objectivist Assumption: Authors like James Ladyman, Paul Cilliers, and Dave Snowden treat complexity as an ontological reality—it exists “out there” in the physics of the world. From this view, you must use complexity science to map the “dispositional” nature of the system, recognizing that complex systems are mathematically incompressible and have non-linear limits.
• The Constructivist Assumption: Conversely, Derek Cabrera, Peter Checkland, and John Warfield argue that systems and complexity live in the mind of the observer. Warfield defines complexity strictly as cognitive overload and “Spreadthink” in the human mind. Cabrera warns of the “Reification Fallacy”—the danger of treating our subjective models as physical realities. Navigation: If stakeholders are overwhelmed and disagree on the facts, shift to the constructivist view to structure their cognition rather than trying to engineer the physical world.

Wayfinder 2: The Assumption of Boundaries (Ethics and Power)

Question: Are we assuming our problem boundary is a natural fact, or recognizing it as a subjective, ethical choice that marginalizes others?

• The Technical Assumption: In traditional engineering, the environment is just a passive container, and the system boundary is drawn purely around what we can technologically control.
• The Emancipatory Assumption: C. West Churchman, Werner Ulrich, Robert Flood, and Michael C. Jackson assert that drawing a boundary is an exercise of power. By defining the “system” versus the “environment,” you inherently decide who acts as the “client” (beneficiary) and who is relegated to a “witness” (a victim affected by the system but excluded from its design). Navigation: Use Critical Systems Heuristics (CSH) to ask “What is the boundary?” versus “What ought to be the boundary?” to expose power imbalances and hidden ethical costs.

Wayfinder 3: The Assumption of Causality (Force vs. Constraint)

Question: Are we trying to force change through direct cause-and-effect, or are we altering the constraints to release emergent behavior?

• The Linear Assumption: George Lakoff notes the human brain defaults to “Direct Causation”—believing that applying force directly solves a problem (e.g., blaming a “bad apple”).
• The Systemic/Constraint Assumption: Complexity authors argue for “Systemic Causation”. Alicia Juarrero and James Wilk argue that change is not “caused” by forceful impact; rather, continuous flux is natural, and behavior is governed by constraints. Wilk’s Minimalist Intervention posits that desired change is already inherent in a situation and merely needs to be “released” by lifting specific constraints. Peter Senge reinforces this by urging leaders to look for delayed feedback loops and non-obvious “leverage points” rather than pushing harder on a resistant system.

Wayfinder 4: The Assumption of Agreement (Consensus vs. Accommodation)

Question: Are we striving for a single objective truth and total consensus, or are we designing for pluralism and mutual accommodation?

• The Objective Consensus Assumption: Traditional science assumes that with enough data, all rational actors will agree on the “Truth.”
• The Pluralistic Assumption: Geoffrey Vickers and Humberto Maturana prove that humans do not respond to an objective reality; they respond to an environment filtered through their subjective “appreciative settings” and biological operations of distinction. Because we live in a “Multiversa” of equally legitimate realities, forcing consensus is an act of coercion. Max Boisot terms this “epistemic heterogeneity”. Navigation: Use Checkland’s Soft Systems Methodology (SSM) or Colin Eden’s Cognitive Mapping (SODA) to abandon the search for consensus. Instead, seek an accommodation—a proposed change that different stakeholders can merely “live with” to allow action to proceed, even if their underlying values clash.

Wayfinder 5: The Assumption of Uncertainty (Fail-Safe vs. Safe-Fail)

Question: Are we attempting to predict the future to optimize a perfect solution, or are we satisficing and building resilience against the unknown?

• The Optimization Assumption: Hard systems and operations research seek to maximize efficiency and build rigid, “fail-safe” structures designed to withstand predicted shocks.
• The Adaptation Assumption: Nassim Nicholas Taleb, Herb Simon, and Ross Ashby argue that in complex environments, optimization is mathematically impossible and highly dangerous. Simon proposes “satisficing” (finding a good-enough solution). Taleb warns that optimizing strips a system of redundancies, making it fragile to unpredictable “Black Swans.” We must instead build “safe-fail” systems that are Antifragile—benefiting from volatility. Navigation: Apply Ashby’s Law of Requisite Variety (amplifying internal flexibility to match external chaos) and use Snowden’s “safe-to-fail probes” to act, sense, and respond rather than over-planning.

Wayfinder 6: The Assumption of Purpose (Solving vs. Dissolving/Designing)

Question: Are we trying to solve a puzzle with expert knowledge, or are we trying to dissolve a mess through systemic design and learning?

• The Problem-Solving Assumption: Reg Revans notes that traditional management relies on “Programmed Knowledge” to solve “Puzzles”—tame issues with clear, expert-driven answers.
• The Design & Dissolution Assumption: Russell Ackoff dictates that we rarely face puzzles; we face “messes”. You cannot solve a mess analytically; you must dissolve it synthetically using “Idealized Design” (redesigning the system from scratch so the problem can no longer exist). Furthermore, Harold Nelson and Erik Stolterman reframe intervention not as running away from a problem, but as running toward Desiderata (human aspirations) through Systemic Design. Navigation: Rely on Revans’ “Questioning Insight”—acting in the face of ignorance and continuously learning through trial and error, moving from a reactive problem-solver to a proactive designer of the “Ultimate Particular”.