Abstract
We advance a model of human probability judgment and apply it to the design of an extrapolation algorithm. Such an algorithm examines a person's judgment about the likelihood of various statements and is then able to predict the same person's judgments about new statements. The algorithm is tested against judgments produced by thirty undergraduates asked to assign probabilities to statements about mammals.
Original language | English (US) |
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Pages (from-to) | 103-129 |
Number of pages | 27 |
Journal | Theory and Decision |
Volume | 36 |
Issue number | 2 |
DOIs | |
State | Published - Mar 1994 |
All Science Journal Classification (ASJC) codes
- General Decision Sciences
- Developmental and Educational Psychology
- Arts and Humanities (miscellaneous)
- General Economics, Econometrics and Finance
- Applied Psychology
- Computer Science Applications
- General Social Sciences
Keywords
- Probability
- judgment
- psychology