Agent Population & Signal Emission
Genuine Prosocial
Opportunistic
Bayesian Receiver Updating
Prior
Posterior P(G|Signal)
Receiver Classification & Payoff Workbench
Posterior P(Genuine | Signal) = 100%
Prior P(Genuine)
30.0%
Population baseline
P(Signal | Genuine)
100%
Genuine signal rate
P(Signal | Opportunist)
0%
Incentive filter check
Posterior P(G | Signal)
100%
Bayes updated belief
Receiver Expected Payoff
+50.0
Per signaled interaction
RECEIVER DECISION MATRIX & BELIEF BREAKDOWN
| Actor Type | Prior Prob | Signal Decision | Receiver Posterior P(Type|Signal) | Receiver Optimal Action | Expected Receiver Payoff |
|---|