Subjectivity in Inductive Inference

Itzhak Gilboa and Larry Samuelson ()
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Larry Samuelson: Department of Economics - Yale University [New Haven]

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Abstract: 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.

Keywords: induction; simplicity; Bayesian learning; prediction (search for similar items in EconPapers)
Date: 2012-05
New Economics Papers: this item is included in nep-gth and nep-mic
Note: View the original document on HAL open archive server: https://hec.hal.science/hal-00489433v1
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Citations: View citations in EconPapers (4)

Published in Theoretical Economics, 2012, 7 (2), pp.183-215. ⟨10.3982/TE845⟩

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Related works:
Journal Article: Subjectivity in inductive inference (2012)
Working Paper: Subjectivity in Inductive Inference (2012)
Working Paper: Subjectivity in Inductive Inference (2009)
Working Paper: Subjectivity in Inductive Inference (2009)
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-00489433

DOI: 10.3982/TE845

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