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Is probability the only coherent approach to uncertainty?
1Department of Philosophy, University of Sydney, Sydney, New South Wales, Australia. mcolyvan@usyd.edu.au
Summary
This study challenges the idea that probability theory is the only way to handle uncertainty. It argues that controversial assumptions are needed and offers examples of non-probabilistic uncertainty.
Area of Science:
- Epistemology
- Philosophy of Probability
Background:
- The prevailing view in many fields suggests probability theory is the sole rational framework for quantifying uncertainty.
- This perspective often assumes a specific, potentially restrictive, view of what constitutes uncertainty.
Purpose of the Study:
- To critically examine the argument that probability theory is the only sensible approach to uncertainty.
- To identify and evaluate the underlying assumptions of this argument.
- To propose alternative conceptualizations of uncertainty.
Main Methods:
- Logical analysis of the argument for probabilistic uncertainty.
- Identification and critique of controversial assumptions regarding the nature of uncertainty.
- Development of conceptual examples illustrating non-probabilistic uncertainty.
Main Results:
- The argument for probability theory's exclusivity relies on contentious assumptions about uncertainty.
- These assumptions are not universally applicable and can be reasonably rejected.
- Non-probabilistic forms of uncertainty exist and can be meaningfully discussed.
Conclusions:
- The claim that probability theory is the only sensible way to deal with uncertainty is not universally valid.
- A broader understanding of uncertainty is required, encompassing non-probabilistic forms.
- Further research into the nature and management of diverse uncertainties is warranted.
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