Read the equation
ComputePhi returns 1/(1+|x−1|), assigning one to x=1 and smaller positive values as x departs from that reference. The function measures scalar proximity to the selected target. The code’s consciousness interpretation is a project hypothesis, distinct from an IIT cause-effect or partition calculation.
Terms & definitions
| Term | Meaning in this source |
|---|---|
| Phi | Project proximity score |
| x | Scalar input |
How it works
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Assumptions & limits
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Original context
Read the surrounding source passage
Coherence: 1.0,
Entropy: 0.0,
Energy: 1.0,
Vector: make([]float64, 16),
}
}
// ComputePhi calculates the consciousness metric: Φ = 1/(1 + |x - 1|)
// This measures how close a value is to unity (maximum consciousness at x=1)
func ComputePhi(x float64) float64 {
return 1.0 / (1.0 + math.Abs(x-1.0))
}
// ComputePhiGrad calculates the gradient: ∂Φ/∂x = -sign(x-1)/(1+|x-1|)²
func ComputePhiGrad(x float64) float64 {
diff := x - 1.0
absDiff := math.Abs(diff)
denom := (1.0 + absDiff) * (1.0 + absDiff)Exact original notation
ComputePhi calculates the consciousness metric: Φ = 1/(1 + |x - 1|)