Method — Constraint Logic

Definition, scope boundary, and structural model.

Definition

Constraint logic describes a structural framework for defining and evaluating conditions that restrict, guide, or limit system behavior.

It links system states, inputs, or actions to allowable outcomes based on defined constraints without prescribing implementation mechanisms or specific rule systems.

Model Classification

Constraint logic is structured as a descriptive and analytical reference model.

It provides a framework for understanding how constraints influence system behavior without defining execution environments, programming paradigms, or optimization strategies.

Scope Boundary

Included

Definition of constraints applied to system inputs, states, or actions
Logical evaluation of conditions determining allowable outcomes
Restriction and limitation of system behavior
Structural mapping of constraint relationships
Interaction between multiple constraints within a system

Excluded

Specific programming languages or constraint-solving frameworks
Optimization algorithms or search strategies
Implementation of constraint solvers
Formal verification methods or proofs
Vendor-specific systems or rule engines

Structural Phase Model

Phase 1 — Constraint Definition

Constraints are defined, specifying conditions that must be satisfied within the system.

Phase 2 — Input or State Evaluation

System inputs or states are evaluated against defined constraints.

Phase 3 — Constraint Resolution

The system determines whether constraints are satisfied, violated, or conflicting.

Phase 4 — Outcome Determination

System behavior is restricted or guided based on constraint evaluation results.

Transferability

The constraint logic model is not limited to a specific domain or technology.

It can be applied across software systems, decision frameworks, organizational processes, and automated systems.

The model remains consistent by focusing on structural relationships between constraints, system states, and allowable outcomes.