Interpretive Entropy
Interpretive Entropy is the gradual divergence between original semantic intent and current operational interpretation within evolving institutional systems.
The Physics of Decay
Consider a long-horizon human-AI collaboration engaged in evolving an institutional system over months or years. Definitions are refined, constraints are added, and governance structures are adjusted.
Interpretive entropy emerges from:
- Bounded reconstructive cognition
- Increasing cross-referential complexity
- Mutation history accumulation
- Defensive simplification under load
Not a Human Failure
Interpretive entropy reflects structural scaling pressure rather than individual failure. It is a natural condition of complex systems stretched across time, amplified by the speed of AI generation.
Part of the PKOS Lexicon.