Identification and Indetermination in the Meta-Inductive Approach to Induction

Abstract The meta-inductive approach to induction justifies induction by proving its optimality. The argument for the optimality of induction proceeds in two steps. The first “a priori” step intends to show that meta-induction is optimal and the second “a posteriori” step intends to show that meta-induction selects object-induction in our world. I critically evaluate the second step and raise two problems: the identification problem and the indetermination problem. In light of these problems, I assess the prospects of any meta-inductive approach to induction.

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Publication Details

Journal
Philosophy of Science
Published
2025-09-04
DOI
https://doi.org/10.1017/psa.2025.10130
Citations
1
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
2.48
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article

Identification and Indetermination in the Meta-Inductive Approach to Induction

Kabir S. Bakshi
1 citations
Philosophy of Science
Neural Networks and Applications
2.48
article

Identification and Indetermination in the Meta-Inductive Approach to Induction

Kabir S. Bakshi
article en
1 citations

Abstract

Abstract The meta-inductive approach to induction justifies induction by proving its optimality. The argument for the optimality of induction proceeds in two steps. The first “a priori” step intends to show that meta-induction is optimal and the second “a posteriori” step intends to show that meta-induction selects object-induction in our world. I critically evaluate the second step and raise two problems: the identification problem and the indetermination problem. In light of these problems, I assess the prospects of any meta-inductive approach to induction.

Philosophy of Science
University of Pittsburgh (US)
Openalex Percentile: Top 9%
Neural Networks and Applications
2.48
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