Comparative Analysis of Inference Under Uncertainty — NSF Award to University of California-Los Angeles (CA, $594,592)
When people make decisions under uncertainty or with incomplete information, people may rely on mental “fill‑ins” that are part of everyday intelligence but can sometimes lead to errors, like jumping to the wrong conclusion. This project asks why those “quick but wrong” choices happen and whether they arise from the sa
| Award title | Comparative Analysis of Inference Under Uncertainty |
|---|---|
| Award ID | 2523638 |
| Awardee | University of California-Los Angeles |
| City | LOS ANGELES |
| State | CA |
| Amount obligated | $594,592 |
| Principal investigator | Aaron Blaisdell |
| Program | Cross-Directorate Activities |
| Start date | 07/01/2026 |
| Abstract | When people make decisions under uncertainty or with incomplete information, people may rely on mental “fill‑ins” that are part of everyday intelligence but can sometimes lead to errors, like jumping to the wrong conclusion. This project asks why those “quick but wrong” choices happen and whether they arise from the same basic rules of intelligent behavior in humans and comparative animal models. Examining these processes in species that lack language is important for being able to understand th |
| Source | NSF Awards |
$799/mo
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