| Budget Amount *help |
¥18,200,000 (Direct Cost: ¥14,000,000、Indirect Cost: ¥4,200,000)
Fiscal Year 2017: ¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2016: ¥6,110,000 (Direct Cost: ¥4,700,000、Indirect Cost: ¥1,410,000)
Fiscal Year 2015: ¥6,760,000 (Direct Cost: ¥5,200,000、Indirect Cost: ¥1,560,000)
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| Outline of Final Research Achievements |
We proposed an exponentially biased Bayesian update model with its underlying neural circuits, which can explain most cognitive biases in human probability judgments as well as electrophysiological findings on experimental animals. The model also provides a unified account for some psychiatric diseases. We applied the model to determine the learning algorism to diminish the cognitive bias in an experimentally designed market. In addition, we proposed a new behavior change theory that is consistent to the findings in behavioral economics.
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