Read the equation
Because b decreases with state norm, 1−b² increases from zero toward one as that norm grows. It is therefore a monotone transform of activity magnitude in this version. It does not encode posterior uncertainty or predictive calibration unless a separate empirical relationship is established.
Terms & definitions
| Term | Meaning in this source |
|---|---|
| b | Norm-based scale factor |
How it works
Read the definition from its right-hand expression to the quantity on the left. Its surrounding source records the intended input, state, or parameter context. Where the source leaves an operation unspecified, this page preserves that gap.
Assumptions & limits
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Original context
Read the surrounding source passage
## 5.3 Uncertainty Component ``` Uncertainty = 1 - b² ``` **Where**: - `b` = normalization factor **Explanation**: When the state vector is large (high activity), b is small, so uncertainty is high. Calm, focused states have low uncertainty. ## 5.4 Value Component ``` Value = utility · ⟨w, Ψ⟩ ``` **Where**: - `⟨w, Ψ⟩` = dot product of weights and state **Explanation**: Value is high when the system is in a state aligned with its weighted priorities AND receiving positive utility signals. ## 5.5 Penalty Component
Exact original notation
Uncertainty = 1 - b²