Ostrom, etal. Institutional Analysis and Development framework.

digraph { rankdir=LR node [shape=ellipse style=filled fillcolor=lightblue penwidth=2 color=black] Outcomes subgraph {rank=same; "Policy\nReform"; Context; "Action\nArena"; "Policy\nReform"; "Patterns of\nInteraction"; "Evaluative\nCriteria" Outcomes; } "Policy\nReform" -> Context -> "Action\nArena" -> "Patterns of\nInteraction" -> {Outcomes "Evaluative\nCriteria"} node [shape=ellipse style=filled fillcolor=yellow penwidth=2 color=black] "Biophysical\nEnvironment" -> Context "Socioeconomic\nConditions" -> Context "Institutional\nArrangement" -> Context Actors -> {"Action\nArena"} "Action\nSituations" -> "Action\nArena" "Information\nFlow,\nLearning\nConditions" -> "Patterns of\nInteraction" subgraph {"Biophysical\nEnvironment" "Socioeconomic\nConditions" "Institutional\nArrangement" Actors "Action\nSituations" "Information\nFlow,\nLearning\nConditions"} //ActionArena -> {Actors ActionSituations} //PatternsOfInteraction -> 'Information Flow\nLearning Conditions" "Evaluative\nCriteria" -> Outcomes //Context -> {BiophysicalEnvironment SocioeconomicConditions InstitutionalArrangement} edge [penwidth=2 color=orange] Outcomes -> {"Action\nArena" Context} }

In my Tetrahedron model, Institutions and aggregation rules are handled by "Orgs" and Persons, Actions are "Act", Outcomes of "Results" of acts.

Attributes of the Community, Rules in Use and Evaluations Criteria should connect to "Ideals".

Interactions should map the the six paired relationships among the four: Persons, Ideals, Orgs, Acts.

External Variables are nodes from other Tetrahedrons.

Biophysical conditions only show up in my Economy in Geo Bio Political Recursions, and in the Sofi and VSM models.

Each conceptual part of this model is important. Getting clear on the particulars of the Context can dramatically reduce the complexity (number of choices) of the situation.

PatternsOfInteraction is the set of relationships (structure) inherent in the ActionArena. This is where the Viable System Model can add diagnostic precision and therapeutic effectiveness.

Engaging Actors who have the best models of the situation (experience) and skills (improvisational) will also reduce the number of choices needing to be selected from--again reducing variety (complexity). Thank you Ross Ashby.

Situated learning and adaptation occurs by iteratively feeding the Outcomes back into Context and the ActionArena. I have considered getting may first tattoo, it would be an Ouroboros. Second order concepts of feedback must be deeply understood to handle increasing complexity: iteration, nested recursion, mata-systemic relationships, homeostatic management of variety.