Mind · Reasoning

Generalize

Inductive pattern extraction

Definition

Mechanism

Pattern Extraction: Given multiple instances, identify shared structure. Replace specific values with variables. State the invariant that holds across all instances. Test: does pattern predict behavior of new instances? Refine until predictive. The canonical form of Induction in sema's reasoning taxonomy — probable conclusions from specific observations. It employs AnalogyBridge to map specific instances to abstract schemata, validating the invariant across the set.

Preconditions

  1. Set of specific instances

Postconditions

  1. General principle extracted

Invariants

  1. The abstract rule covers every instance it was drawn from.
  2. Drawn from at least `min_instances` instances.
  3. Tested against instances not used to form it.

Risks

Failure modes

  1. Overfitting

    the extracted pattern includes noise or coincidence from the instances it was drawn from.

  2. Over-generalisation

    the rule covers the instances and also cases it should exclude.

Relationships

Builds on

References

Infrastructure

State

System condition at time T

Used by

References

Almostnot

Learn a pattern from near misses: excluded cases that differ from members by one stated feature

Reference

Parameters

min_instances PositiveInteger, [2, 100]
Instances required before a shared structure counts as a pattern.

Identity

Ref
Generalize#29f1
Sema ID
sema:Generalize#mh:SHA-256:29f133fe83dfe2cd7d2b432390f59e3a64a84866b964a2ca6199f8134ba64e7e
Ring
2
Tier
1
Updated
2026-11-11
Supersedes
  • sema:Generalize#mh:SHA-256:17c94171f5f8f82695fc6dfb89eac6aad8adedf46545e3d48e799056ec132941
  • sema:Generalize#mh:SHA-256:78cbd8c531e0daa24d78be404ae40023b9ae598b6b0642e925756b1822145ccf
  • sema:Generalize#mh:SHA-256:251f07a282bc1b83a737977141d164311e3334d50b555400970928758153289d