Model

Pipeline status: not yet generated. Run Step 3 of the LLM Iterate prompt once the topology is populated.

What this stage produces

• Orthogonal decomposition of the “social environment” input
• Generating function tying environment quality to maintenance cost
• Boundary conditions and assumptions made explicit
• Interactive slider dashboard (will be embedded here, similar pattern to /models/option-value)

Initial sketch (from pre-pipeline notes)

Available_Output(t) = R · (1 − M(SocialEnv))

where R is the daily resource pool and M is a monotonically decreasing function of social environment quality, returning the fraction of R consumed by maintenance.

SocialEnv itself decomposes into network density, reflection accuracy, co-regulation access, value alignment, reciprocity, stability — to be operationalized in this stage.