Based on the provided sources, David L. Abel’s ideas can be included in mainstream systems thinking by acting as a rigorous diagnostic filter to correct “category errors” regarding organization, complexity, and agency. His work offers a biophysical and semiotic foundation that sharpens the distinction between systems that are merely “ordered” by nature and systems that are “organized” by intent.
Here is how his specific concepts can be integrated:
1. Adopting the “Three-Category” Taxonomy (OSC, RSC, FSC)
Mainstream systems thinking often uses “complexity” as a catch-all term. Abel provides a mathematical precision that can refine how systems are diagnosed[1][2].
• Ordered Sequence Complexity (OSC): Use this to label systems that are highly structured, redundant, and repetitive (like a crystal or a rigid bureaucracy). These are not complex; they are “ordered” and information-poor.
• Random Sequence Complexity (RSC): Use this to label systems that are chaotic, stochastic, or “noisy” (like a gas or a confusing market). These are “complex” in the mathematical sense (non-compressible) but lack utility.
• Functional Sequence Complexity (FSC): Use this to label true systems. This is the “Goldilocks” state (organization) where a system uses “Choice Contingency” to select specific functions.
• Integration: Systems thinkers should use this taxonomy to stop confusing “order” with “organization.” A system is not organized just because it has a pattern; it is organized only if it contains Prescriptive Information (PI)—instructions that select a specific function[3].
2. Operationalizing the “Cybernetic Cut”
Abel’s concept of the Cybernetic Cut aligns with and strengthens the distinction made by Roger James and Howard Pattee between “Laws” and “Rules”[4][5].
• The Concept: The “Cut” is the gap between the world of Physicality (governed by chance and necessity/laws) and the world of Formalism (governed by choice and rules). Traffic flows one way: Formalism instructs Physicality[4].
• Integration: Practitioners can use the Cybernetic Cut to identify boundaries of control.
◦ Below the Cut: Physical constraints (gravity, thermodynamics, resource scarcity) that cannot be “managed,” only obeyed. ◦ Above the Cut: Formal controls (policies, algorithms, language) that are arbitrary and can be changed. ◦ Application: When diagnosing a “mess,” ask: “Is this constraint physical (below the cut) or formal (above the cut)?” This prevents managers from trying to “manage” physics or treating arbitrary rules as if they were laws of nature[6][7].
3. Replacing “Self-Organization” with “Self-Ordering” (Where Appropriate)
Abel is critical of the loose use of “self-organization” in complexity science (e.g., the Santa Fe Institute style), arguing that inanimate matter only self-orders (creates patterns like vortices) but never self-organizes (creates code/algorithms) without agency[7][8].
• Integration: Systems thinkers should be precise:
◦ Self-Ordering: Use for environmental phenomena or crowd dynamics where patterns emerge from blind physical/statistical forces. ◦ Self-Organization: Reserve this for cybernetic systems (organisms, organizations, machines) that possess internal prescriptive information and goal-directed behavior[8]. ◦ Why: This prevents the “magical thinking” that complex organization will simply “emerge” from chaos without specific, intentional design or selection[7][9].
4. Identifying “Configurable Switches”
Abel identifies the Configurable Switch as the physical mechanism that allows choice to exist. A switch (like a light switch or a nucleotide) is dynamically inert—physics doesn’t care if it is on or off. This indifference allows an agent to impose a choice[7][10].
• Integration: In organizational design, identifying “configurable switches” helps locate true agency.
◦ Look for decision points in the system that are not determined by the “physics” of the market or the “laws” of regulation. ◦ These are the points where Choice Contingency exists—the only places where leadership or design can actually inject new information into the system[11].
5. Moving from Shannon Information to Prescriptive Information
Mainstream systems thinking often relies on Claude Shannon’s definition of information (reduction of uncertainty). Abel argues this is insufficient for living systems because it measures “surprise,” not “instruction”[12].
• Integration: Include the concept of Prescriptive Information (PI). Do not just measure the volume of communication (Shannon); measure the instructional value. Does the information tell the system what to do? A system is defined by its PI, not just its connectivity[3].
Summary Table for Inclusion
| Mainstream Concept | Abel’s Refinement | Application in Systems Thinking |
|---|---|---|
| Complexity | Often means “messy” or “connected.” | RSC (Randomness): High complexity = High entropy/Noise. |
| Organization | Often conflated with Order. | FSC (Functional): Requires “Choice Contingency” (Design/Agency). |
| Emergence | Spontaneous order from bottom-up. | Self-Ordering (Physical) vs. Self-Organization (Formal/Agent-driven). |
| Constraints | Limits on behavior. | Cybernetic Cut: Distinguish Physical Laws (Constraints) from Formal Rules (Controls). |
| Information | Data/Uncertainty (Shannon). | Prescriptive Information (PI): Instructional code/algorithms. |
By including Abel’s ideas, systems thinking moves away from vague notions of “emergence” and gains a rigorous biophysical standard for detecting agency, design, and true organization[9].
References
[1] 💬Nutshell (Process).md [2] 💬Nutshell (Process).md [3] 💬How To Guides.md [4] 💬Gists.md [5] 💬Perspectives.md [6] 💬Environment.md [7] 💬Environment.md [8] 💬Distinctions.md [9] 💬Nutshell (Process).md [10] 💬Questions.md [11] 💬Gists.md [12] 💬Distinctions.md