Epistemic risk and the demands of rationality /
How much does rationality constrain what we should believe on the basis of our evidence? Richard Pettigrew provides a novel philosophical argument for permissivism about epistemic rationality, and explores a variety of applications, including a discussion of conspiracy theories and the morality of i...
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| Format: | eBook |
| Language: | English |
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Oxford, United Kingdom :
Oxford University Press,
2022.
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| Edition: | First edition. |
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| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Abstract
- Acknowledgements
- 1. Introduction
- I. A permissive theory of epistemic raionality
- 2. Varieties of Permissivism
- 2.1 What Sort of Doxastic State?
- 2.2 Interpersonal or Intrapersonal?
- 2.3 Radical or Not?
- 2.4 Common or Rare?
- 2.5 My Brand of Permissivism
- 3. Epistemic Risk and Epistemic Utility for Beliefs
- 4. Epistemic Risk and Epistemic Utility for Credences
- 4.1 Measuring the Epistemic Utility of an Individual Credence
- 4.2 Measuring the Epistemic Utility of an Entire Credal State
- 4.3 Why Should Our Measures Be Strictly Proper?
- 5. Foundational Results in Epistemic Utility Theory
- 5.1 Probabilism
- 5.2 The Principal Principle
- 5.3 Plan Conditionalization
- 6. Epistemic Risk and Picking Priors I: The Decision Rule
- 6.1 Risk-Sensitive Decision-Making Under Risk
- 6.1.1 Expected Utility Theory and the Diminishing Marginal Utility of Money
- 6.1.2 Risk-Weighted Expected Utility and the Allais Preferences
- 6.2 Risk-Sensitive Decision-Making Under Uncertainty
- 6.2.1 Subjective Bayesianism
- 6.2.2 Objective Bayesianism
- 6.2.3 Risk-Weighted Subjective Bayesianism
- 6.2.4 Risk-Weighted Objective Bayesianism
- 6.2.5 Wald's Maximin Rule
- 6.2.6 Hurwicz's Criterion of Realism
- 6.2.7 The Generalized Hurwicz Criterion
- 6.3 Characterizing Our Rules
- 6.3.1 The Axioms
- 6.3.2 The Representation Theorems
- 6.4 Appendix: Proofs
- 6.4.1 A Useful Lemma
- 6.4.2 Proof of Theorem 7(i): Characterizing Subjective Bayesianism
- 6.4.3 Proof of Theorem 7(ii): Characterizing Objective Bayesianism
- 6.4.4 Proof of Theorem 7(iii): Characterizing Subjective Risk-Weighted Bayesianism
- 6.4.5 Proof of Theorem 7(iv): Characterizing Objective Risk-Weighted Bayesianism
- 6.4.6 Proof of Theorem 7(vi): Characterizing the Hurwicz Criterion
- 6.4.7 Proof of Theorem 7(v): Characterizing Minimax
- 6.4.8 Proofs of Theorems 7(vii): Characterizing the Generalized Hurwicz Criterion
- 7. Epistemic Risk and Picking Priors II: The Consequences of the Rule
- 7.1 Decomposing Options into Their Component Parts
- 7.2 The Credal Consequences of the Rules
- 7.2.1 The Credal Consequences of the Other Rules
- 7.2.2 The Credal Consequences of GHC
- 7.3 Appendix: Proofs
- 7.3.1 Proof of Theorem 9
- 8. Epistemic Risk and Picking Posteriors
- 8.1 GHC Forever
- 8.2 Priors and Plans Together
- 8.3 Using Priors to Pick Posteriors
- 8.4 Tying Up Loose Ends
- 8.4.1 Maximizing Expected Epistemic Utility from Whose Point of View?
- 8.4.2 In Favour of Maximizing Expected Utility
- 8.5 Appendix: Proofs
- II. Putting the theory to work
- 9. What Is the Value of Rationality?
- 9.1 The Value of Rationality
- 9.2 Deferring to Rationality
- 9.2.1 Levinstein's Deference Argument Against Permissivism
- 9.2.2 Greco and Hedden on the Concept of Rationality
- 9.3 Life on the Edge of Rationality
- 10. Is Brute Shuffling Irrational?
- 11. Priors that Allow You to Learn Inductively
- 12. Clifford's Shipowner, Conspiracy Theories, and Choosing with and for Others
- 12.1 Choosing for Others
- 12.2 Choosing with Others
- 13. Summing Up
- References
- Index.