We advance a model of human probability judgment and apply it to the d
esign of an extrapolation algorithm. Such an algorithm examines a pers
on's judgment about the likelihood of various statements and is then a
ble to predict the same person's judgments about new statements. The a
lgorithm is tested against judgments produced by thirty undergraduates
asked to assign probabilities to statements about mammals.