Subjectivity in Inductive Inference
This paper examines circumstances under which subjectivity enhances the effectiveness of inductive reasoning. We consider a game in which Fate chooses a data generating process and agents are characterized by inference rules that may be purely objective (or data-based) or may incorporate subjective considerations. The basic intuition is that agents who invoke no subjective considerations are doomed to "overfit" the data and therefore engage in ineffective learning. The analysis places no computational or memory limitations on the agents -- the role for subjectivity emerges in the presence of unlimited reasoning powers.
|Date of creation:||May 2012|
|Date of revision:|
|Publication status:||Published, Theoretical Economics, 2012, 7, 2, 183-215|
|Note:||View the original document on HAL open archive server: http://hal-hec.archives-ouvertes.fr/hal-00489433|
|Contact details of provider:|| Web page: https://hal.archives-ouvertes.fr/|
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- Kahneman, Daniel & Tversky, Amos, 1979.
"Prospect Theory: An Analysis of Decision under Risk,"
Econometric Society, vol. 47(2), pages 263-91, March.
- Amos Tversky & Daniel Kahneman, 1979. "Prospect Theory: An Analysis of Decision under Risk," Levine's Working Paper Archive 7656, David K. Levine.
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