Constraint-Guided Discovery Systems

Paper 325 of 383
Published June 1, 2026

Discovery systems attempt to transform information into decisions.

The effectiveness of those systems depends upon how information is organized, ranked, and interpreted.

This paper evaluates discovery systems guided by persistent geological constraints rather than isolated observations.

The objective is to improve target selection through the systematic organization of evidence.

Discovery System Components

• Constraint acquisition
• Evidence organization
• Persistence analysis
• Inheritance evaluation
• Convergence assessment
• Opportunity ranking
• Decision support
• Feedback refinement

Discovery Principle

The quality of a discovery system depends upon its ability to distinguish signal from possibility.

Constraint-guided approaches attempt to improve that distinction.