期刊论文详细信息
Games
Correlated Individual Differences and Choice Prediction
关键词: individual differences;    choice prediction;    I-SAW;    modeling correlation;   
DOI  :  10.3390/g2010016
来源: mdpi
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【 摘 要 】

This note briefly summarizes the consequences of adding correlated individual differences to the best baseline model in the Games competition, I-SAW. I find evidence that the traits of an individual are correlated, but refining I-SAW to capture these correlations does not significantly improve the model's accuracy when predicting average behavior.

【 授权许可】

CC BY   
© 2011 by the authors; licensee MDPI, Basel, Switzerland.

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