A decision node chooses the branch with the best folded-back expected value.

highlighted = computed this step

Small EV

The Small branch folds back to $35. Motivation: compute every branch before choosing.

EV(Small)=$35EV(\text{Small})=\$35
Compare choicesThe decision node keeps the branch with the larger expected value.choice comparisonHighLowEVBuild120-2050Small403035

Compare values

Build has $50 and Small has $35. The decision is based on values, not on the largest single payoff.

$50>$35\$50>\$35
Compare choicesThe decision node keeps the branch with the larger expected value.choice comparisonHighLowEVBuild120-2050Small403035

Decision gap

The exact gap is $15. Interpretation: that is the expected-value advantage of Build in this pinned tree.

gap=$15\text{gap}=\$15
Compare choicesThe decision node keeps the branch with the larger expected value.choice comparisonHighLowEVBuild120-2050Small403035

Choice honesty

The comparison is only as honest as the input probabilities and payoffs. The probabilities and dollar payoffs are assumed inputs. This book folds back a known decision tree; it does not learn probabilities or prove the payoffs will occur.

assumed inputs, exact comparison\text{assumed inputs, exact comparison}
Compare choicesThe decision node keeps the branch with the larger expected value.choice comparisonHighLowEVBuild120-2050Small403035