Spanda

Adaptive Operations

Functional domain: Adaptive Learning
Status: Experimental — rule-based statistics and confidence updates; no ML dependency.

Canonical architecture: cognitive-resilience-architecture.md Recovery learning detail: adaptive-recovery.md

Purpose

Improve operational decisions using historical outcomes. Adaptive operations cover recovery strategy selection, confidence updates, and historical recommendations — implemented as transparent rules and statistics, not opaque models.

Capabilities (initial)

Capability	Implementation
Rule-based adaptation	AdaptiveRecoveryPolicy success-rate thresholds
Statistics	StrategySuccessRate, rolling attempt counts
Confidence updates	RecoveryConfidence.score from history
Historical recommendations	POST /v1/recovery/recommend

Entity integration

Field	Description
Entity.recovery_confidence	EntityRecoveryConfidence — score, preferred_strategy, attempts

Types (spanda-autonomy)

RecoveryConfidence, RecoveryHistory, StrategySuccessRate, StrategyPreference, AdaptiveRecoveryPolicy

Examples

• Camera reconnect succeeds 3/3 times → prefer reconnect strategy
• Provider restart fails repeatedly → escalate sooner in recommend
• Robot replacement faster than retry → prefer takeover in continuity
• Fusion confidence low after recovery → lower recovery confidence score

CLI

spanda recovery confidence
spanda recovery learning-report

API

Surface	Endpoint
Recovery metrics	GET /v1/recovery/metrics → recovery_confidence
Recovery recommend	POST /v1/recovery/recommend
Entity autonomy	GET /v1/entities/{id}/autonomy → recovery_confidence

Control Center

Recovery Confidence metric in the Cognitive & Resilience tab.

Integrations

• Recovery Orchestrator: history feeds compute_recovery_confidence()
• Attention Engine: failed recovery patterns may escalate attention
• Operational Memory: episodic recovery history in playbooks/traces

Future (not required now)

ML-backed strategy selection may arrive via official packages — the functional domain boundary remains the same; only the recommendation backend would change.

See responsibility-matrix.md.

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