Noisy Introspection in the 11–20 Game
Bibliographic Data
| ID | 9707757 |
|---|---|
| Authors | Jacob K Goeree (0000-0001-9876-3425, UNSW Australia Business School, AGORA Center for Market Design, International Faculty University of Cologne), Philippos Louis (0000-0003-1316-4701, UNSW Australia Business School, AGORA Center for Market Design, corresponding author), Jingjing Zhang (0000-0003-0408-374X, UTS Business School) |
| Year | 2018 |
| Volume | 128 |
| Issue | 611 |
| Pages | 1509-1530 |
| Publication date | 2018-06-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | The Economic Journal (JOURNAL) |
| Journal identifiers | ISSN: 0013-0133 • E-ISSN: 1468-0297 |
| Publisher | Oxford University Press (OUP) (PUBLISHER) |
| DOI | 10.1111/ecoj.12479 |
| OpenAlex | W2585380055 |
| Language | EN |
| Citations received | 6 |
| References cited | 13 |
Previous experiments based on the 11-20 game have produced evidence for the level-k model with observed levels of strategic thinking consistently ranging from 0 to 3. Our baseline treatment uses the 11-20 game and replicates previous results. We apply four models of strategic thinking to the baseline-treatment data and use these to predict behaviour and beliefs in five other treatments that employ games with a very similar structure. The best predictive performance is achieved by models that incorporate common knowledge of noise'. A model of noisy introspection, which does so, predicts behaviour remarkably well
Baseline (sea · Cognitive psychology · Image (mathematics · Introspection · Noise (video · Political science · Artificial Intelligence · Computer Science · Decision-Making and Behavioral Economics · Experimental Behavioral Economics Studies · Game Theory and Applications · Psychology
| Citations per year | 1.2 |
|---|---|
| Citation span | 2021 - 2025 (5) |
| Highly cited | No |