Invariant
A condition or property that must always hold during system operation, used to ensure the consistency and reliability of hybrid AI system behavior.
Timeline (last 90 days)
The article proposes five invariants that apply to all combinations, along with five failure modes that break these invariants.
Invariants must always hold true during system operation, including syntactic invariants (model output must be parseable by the rule engine), semantic invariants (the rule engine's conclusions must not violate hard-coded safety constraints), and control invariants (control transfer must follow a predefined protocol to avoid deadlock).
All Facts (2)
The article proposes five invariants that apply to all combinations, along with five failure modes that break these invariants.
50%UnverifiedInvariants must always hold true during system operation, including syntactic invariants (model output must be parseable by the rule engine), semantic invariants (the rule engine's conclusions must not violate hard-coded safety constraints), and control invariants (control transfer must follow a predefined protocol to avoid deadlock).
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