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Direct Inference and Probabilistic Accounts of Induction
1Department of Philosophy and Centre for Reasoning, University of Kent, Canterbury, UK.
Summary
This study challenges standard probabilistic theories of induction, arguing they cannot adequately explain inductive reasoning using direct inference principles. A novel non-standard objective Bayesian approach is proposed as a viable alternative for understanding induction.
Area of Science:
- Philosophy of Science
- Epistemology
- Logic
Background:
- Probabilistic accounts of induction are criticized for failing to adequately explain inductive reasoning.
- Schurz (2019) specifically critiques Bayesian approaches (subjective and objective) that rely on direct inference principles.
- Existing direct inference principles, such as Reichenbach's and Lewis's, face challenges within standard probabilistic frameworks.
Purpose of the Study:
- To evaluate the viability of standard probabilistic approaches to induction, particularly their use of direct inference.
- To demonstrate the limitations of Reichenbach's Principle of the Narrowest Reference Class and Lewis's Principal Principle in standard probabilistic settings.
- To propose and defend a non-standard objective Bayesian account of induction that accommodates direct inference.
Main Methods:
- Critical analysis of Schurz's arguments against probabilistic accounts of induction.
- Examination of the compatibility of direct inference principles (Reichenbach's and Lewis's) with standard probabilism.
- Development and defense of a non-standard objective Bayesian framework for induction.
Main Results:
- Standard probabilistic approaches, relying on direct inference, are shown to be inadequate for explicating the logic of induction.
- Both Reichenbach's Principle of the Narrowest Reference Class and Lewis's Principal Principle present significant difficulties in standard probabilistic models.
- A non-standard objective Bayesian account of induction is presented as a successful alternative, capable of incorporating direct inference.
Conclusions:
- Direct inference principles face significant challenges within standard probabilistic frameworks for induction.
- A non-standard objective Bayesian approach offers a promising and viable alternative for understanding the logic of induction.
- The proposed non-standard account successfully addresses criticisms leveled against probabilistic theories of induction.
Keywords:
BayesianismDirect inferenceInductionLogical probabilityPrincipal PrinciplePrinciple of the Narrowest Reference ClassMore Related Videos
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