Distinctions
Is
- The power to add, change, or evolve system structure.
- A system’s ability to “add, change, or evolve system structure” (e.g., new loops, rules, or physical structures like “brains or wings or computers).
- Biological evolution.
- Technical advance and social revolution in human systems.
- “The strongest form of system resilience” (a system can “survive almost any change, by changing itself”).
- Emergence from simple rules that govern how/when the system can modify itself (“marvelously clever rules for self-organization”).
Is Not
- Normal operation of a fixed structure (e.g., a thermostat keeping room temperature) – that’s balancing feedback, not structural change
- Merely parameter-tweaking (changing tax rates, minimum wage, thermostat settings)
- Changing players in an unchanged system (swapping leaders, employees)
- Top‑down design or control where structure is imposed externally and cannot adapt itself
- One-off redesign done from outside (e.g., a consultant redrawing an org chart)
- Simple variation without selection (random noise that never gets tested/retained)
- Rigid, monoculture systems that suppress variation and experimentation.
- Information flow improvements (adding meters, feedback) without the system gaining new structures/rules
- Goal change; goals can be re-articulated from the top without the system gaining new evolutionary capacity
Boundary
Self-organization is present when a system can internally generate and retain new structures, feedbacks, and rules from its own variation–selection processes.
- IS: The system changes its own architecture over time (new loops, rules, components) via internal processes.
- IS NOT: The system only runs pre-given architecture, with any redesign coming from an external designer or being confined to tweaks within that architecture.
Examples
- The human immune system developing new responses
- The human brain generating “completely new thoughts”
- Biodiversity as stored evolutionary potential
- Cultural diversity as a store of social-evolution potential
Systems
Relationships
| Relationship | Concept | Rationale |
|---|---|---|
| Requires | Variable stock of information | Novel structures can only emerge if the system has diverse inputs to recombine into new configurations. |
| Requires | Mechanisms for variation and experimentation | Self-organization depends on the system’s ability to generate alternatives through trial, recombination, or experimentation. |
| Requires | Mechanisms for selection (environment, markets, funding) | Variation only produces useful patterns when feedback processes reinforce successful outcomes and suppress failures. |
| Realized through | Self-Organizing Team | Self-organizing teams distribute decision authority and experimentation to the team level, enabling the system to adapt its own work processes and solutions. |