ECF Calculator

A Nervous System for Agents

PE = (Actual - Expected) / 2
t = 0
👤
Self
Your ECF State
Mood 0.00
States:
🤖
Other
Agent ECF State
Mood 0.00
States:
🚨 Threat Alarm (T)

T is not a PE channel. It pattern-matches: Does this resemble past harm?
T = similarity × intensity

Similarity (0-1)
0.00
Intensity (0-1)
0.00
Decay (0-1)
0.95
T Level
0.00
Override (Σ|expected|×weight)
0.00
Safe
⚡ Drives

Channel drive measures the urgency to act across all five channels.

Channel Drive 0.00
Σ(|expected| × weight)
🧠 Knowledge State (Self)

Reliability = Can I predict? (statistical, 0-1) | Coherence = Can I explain? (0-1)

Average Reliability 0.50
Derived from channel reliabilities
Coherence 0.50
Do I understand this? (0 to 1) (input via the slider)
Knowledge
Predict & explain
High reliability + high coherence
Belief
Predict, can't explain
High reliability, low coherence
Faith
Explain, can't predict
Low reliability, high coherence
Confusion
Neither
Low reliability + low coherence
🔗 Social (Self → Other)

Coupling: their outcomes affect my B. Trust: accumulated fairness.

🔍 Calculation Audit

ECF v4 Reference

Channels: R Resource | S Status | B Belonging | V Values | I Curiosity

Parameters: Actual (-1 to +1), Expected (-1 to +1), Reliability (0 to 1), Weight (0 to 1, Σ=1), Threshold (0 to 0.5)

PE Formula: raw_PE = (actual - expected) / 2 → filtered_PE = raw_PE if |raw_PE| > threshold else 0

Weighted PE: filtered_PE × weight × reliability

"The system may behave as if it feels. Whether it actually feels is outside this specification."