61R-L · AUTONOMOUS OS LOOP ASSIMILATION MAP

One operating loop. Many specialized subloops.

Assimilate existing learning loops, autonomous action routes, permission gates, scenario runners, memory routes, and flexible categories into one autonomous operating system loop without deleting or flattening specialized subloops.

Open Arena ShellLearning AuditCategory ControlPerformable ScopeScenario RunnerText MapJSON Map

CORE LOOP

Scenario Runner + Completed Action History Loop

Primary autonomous OS loop. It plays scenarios to completion, evaluates hidden consequences, returns completed recommendations, and learns from approved/rejected/gold-star/archive/rewind outcomes.

scenario completionperformable-before-gate doctrinecompleted action historycadence learningend-state controlsgold-star promotionarchive/divert routingrewind divergence learning

SUBLOOPS

Specialized loops feed the core OS loop.

outcome-scoringfeeds core: true

Outcome Learning Loop

Scores actions after completion: did it work, did the user approve, was cost/risk correct, did hidden fees appear, should this pattern improve?

/outcome-learning-os
adaptive-evolutionfeeds core: true

Adaptive Evolution Loop

Improves TheoB behavior and structure after scored outcomes, while requiring rollback paths and preventing blind mutation.

/adaptive-evolution-os
creative-production-loopfeeds core: true

Creative / Technical Production Loop

Covers sketches, video, audio, app creation, deep research, design, CAD, architectural renderings, and other performable outputs before gates.

/universal-performable-action-scope
quarantine-adversarial-learning-loopfeeds core: true

Quarantine / Adversarial Learning Loop

Studies hidden traps, hostile pages, phishing, misleading offers, spam, hidden fees, and adversarial patterns in isolated/read-only mode.

/arena-system-finder/universal-performable-action-scope

CONTRADICTION RESOLUTION

Resolve old/new logic without deleting.

conflict

Older approval gates may imply human process micromanagement.

Retain them only as commitment gates. Process work belongs to AI before asking the user.

conflict

Multiple learning loops may compete.

Do not delete. Assign each loop a specialized role and feed outputs into the core Scenario Runner + Completed Action History Loop.

conflict

Adaptive evolution may mutate too broadly.

Evolution only follows scored outcomes, rollback paths, and category receipts.

conflict

Archive/divert may be mistaken for deletion.

Archive/divert is pause/reroute only. Routes remain reopenable and visible in Full System.

FLEXIBLE CATEGORY CONTROLS

Add/remove categories remain active.

addCategoryAllowed: trueremoveCategoryAllowed: truerenameCategoryAllowed: truemergeCategoryAllowed: truesplitCategoryAllowed: truedestructiveDeleteBlocked: truesource: /learning-loop-category-control