feedback-loop-detection

Research

Tactic for identifying circular causation — detect feedback loops, classify as reinforcing or balancing, document loop structure.

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Feedback Loop Detection

Identify circular causation in the causal graph. Most real systems have feedback loops — they must be documented explicitly.

Available SOPs

causal-chain-query — trace paths looking for cycles
loop-documentation — document identified loops
mechanism-edge-creation — create edges that close loops

Guiding Principles

Loops are normal. Don't assume acyclicity. Real causal systems almost always have feedback.
Classify loops. Reinforcing (positive feedback, amplification) vs balancing (negative feedback, homeostasis).
Time delays matter. A loop with a 10-year delay behaves differently from one with a 10ms delay.
Dominant loops. In systems with multiple loops, identify which loop dominates behavior.
Break points. Identify where interventions could break harmful loops.

Minimum Yield

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

SOP	When to use
causal-chain-query	SOP for tracing causal chains — follow edges from cause to effect through intermediate variables.
loop-documentation	SOP for documenting a feedback loop — classify, describe dynamics, identify break points.
mechanism-edge-creation	SOP for creating a causal mechanism edge — documents how one variable causes changes in another.