Probabilitymath
The mathematics of uncertainty — events, random variables, distributions, and how likely outcomes are.
Confidence scores, reinforcement counts, and decay policies in SKC are probabilistic; understanding them requires probability basics.
Where it appears
- SKCE confidence fields
- CRDT reinforcement
- compaction relevance scoring
Descend
Historical evolution
From Kolmogorov's axioms (1933) to modern Bayesian reasoning in ML.
Implementation details
SKCE confidence in [0,1] is a probability; compaction relevance uses log(1+reinforcements).
Sources
- [src/sovereign_knowledge_compiler/sync/compaction.py] src/sovereign_knowledge_compiler/sync/compaction.py
- [src/sovereign_knowledge_compiler/sync/compaction.py] src/sovereign_knowledge_compiler/sync/compaction.py