Tropical selection

Describes max-plus or min-plus style structural selection as used in the reported instantiation and records calibration, ties, thresholds, and numerical behavior as open verification concerns.

Research
Last verified
2026-06-25 00:00 UTC
Updated
Reading time
1 minutes

Describes max-plus or min-plus style structural selection as used in the reported instantiation and records calibration, ties, thresholds, and numerical behavior as open verification concerns.

Research documentation: this page interprets a cited research source and defines evidence requirements. It does not claim a released Teleodynamic AI implementation.

Role

Tropical or max-plus selection provides a discrete winner mechanism over hypothesis evaluations in the reported instantiation. It does not remove the need for probability calibration or tie behavior.

Required records

  • Semiring convention and score direction.
  • Eligibility threshold.
  • Tie-breaking rule.
  • Negative, zero, NaN, and infinite-score handling.
  • Relationship between tropical winner and probabilistic prediction.

Open limitation

The source paper identifies tropical-inference calibration as a limitation. Publish calibration curves rather than assuming the winner score is confidence.

Scope

This starter page defines the questions, boundaries, evidence, and failure modes that should be recorded before a capability is presented as supported.

Engineering considerations

  • Identify the source, version, target environment, and owner.
  • Separate observed values from estimates and externally reported values.
  • Record trade-offs, unsupported cases, and fallback behavior.
  • Link performance statements to a compatible benchmark methodology.

Verification questions

  • What exact artifact, revision, backend, and environment were reviewed?
  • Which assumptions could change the result?
  • Which data should be retained so another engineer can reproduce the conclusion?