Mind · Strategy
PUREOptimization
Deeply optimizing a solution across PURE dimensions
Definition
Mechanism
The PURE optimization specialization of the PURE framework: a multi-agent Optimize strategy. It accepts a candidate Solution that has already passed the PURECheck. It Decomposes the solution into four parallel streams, assigning a specialized PolymorphicSolver to maximize each PURE metric: Parsimony (Efficiency), Novelty (Uniqueness), Realizable (Feasibility), and Expansive (Impact). The results are re-integrated via Synthesis to find the ParetoFront among competing improvements.
Invariants
- Monotonic Improvement: The output score must be >= input score on all axes.
- Non-Destructive: Optimization of one axis (e.g., Parsimony) must not break another (e.g., Realizable).
Risks
Failure modes
Optimization Conflict
Making it more Novel makes it less Realizable (Requires trade-off negotiation).
Synthesis Failure
The four optimized parts cannot be merged back into a coherent whole.
Relationships
Builds on
Accepts
Infrastructure
The fractal unit of completed work
Composes with
Dividing complexity into manageable units
Maximize utility against a metric
Infrastructure
Nondominated candidates across declared axes
Solver implementing the five-surface contract (polymorphic across substrates)
Combining elements
References
Evaluates generalization potential
Evaluates structural distinctness
The viability framework that wires Parsimony, Novelty, Realizable, and Expansive into a non-compensatory, orthogonal evaluation — specializations (PURECheck/PUREOptimization/PUREBrainstorming) apply this contract
Complexity justification via Occams Razor
Observational four-axis PURE viability check
Evaluates execution feasibility of a plan
Used by
Composes with
Generate -> Check -> Optimize -> Propose
Reference
Signature
Optimize(Solution)