Mind · Memory
LocalizedLearning
Partitioned feedback router for solver learning
Definition
Mechanism
A learning process that performs the Act of routing a FeedbackSignal to the SolverManifest identity that produced the result, and to no other. Attribution happens at the runtime node that failed; the update is keyed to the manifest that node instantiates, so the learning outlives the container. Partitioning updates this way prevents the catastrophic interference common in monolithic models.
Invariants
- Isolation: an update attributed to one solver cannot alter another solver's memory.
- Attribution: every feedback signal identifies the solver that produced the result.
Risks
Failure modes
Echo Chamber
A specialist solver over-optimizes for its narrow metric, ignoring global context.
Feedback Sparsity
Rare modules receive insufficient feedback to learn.
Misrouting
Feedback is attributed to the wrong solver.
Signal Decay
Feedback arrives too late to be useful.
Relationships
Builds on
Accepts
Infrastructure
Standardized learning feedback packet
References
Infrastructure
Root primitive for state modification
Infrastructure
Typed solver identity and capability declaration
Used by
Composes with
Expansion of cognitive capability through recursive decomposition of concepts into contract-bounded sub-concepts
References
Society
Stateful container for a running solver instance
Society
Active hierarchy of coordinated solver instances
Society
Collective knowledge graph of all problem-solving
Reference
Signature
Act(FeedbackSignal)