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Introduction | 1 | |
1 | Information | 9 |
1.1 | C. I Lewis's Heritage | 9 |
1.2 | Bayesian Coherentism | 10 |
1.3 | Modelling Information Gathering | 14 |
1.4 | An Impossibility Result | 19 |
1.5 | Weak Bayesian Coherentism | 22 |
2 | Coherence | 28 |
2.1 | Unequal Priors | 28 |
2.2 | Constructing a Measure | 30 |
2.3 | A Corps in Tokyo, BonJour's Ravens and Tweety | 39 |
2.4 | Equal Reliability | 45 |
2.5 | Indeterminacy | 47 |
2.6 | Alternative Proposals | 49 |
2.7 | Theory Choice in Science | 53 |
3 | Reliability | 56 |
3.1 | Reliability Defined Endogenously | 56 |
3.2 | One Witness Report | 58 |
3.3 | Multiple Witness Reports | 60 |
3.4 | An Upper Limit for Reliability? | 63 |
3.5 | Bayesian Networks | 67 |
3.6 | Jury Voting | 81 |
3.7 | Tversky and Kahneman's Linda | 85 |
4 | Confirmation | 89 |
4.1 | Hypothesis Testing | 89 |
4.2 | Same Tests Results | 94 |
4.3 | Coherent Test Results | 98 |
4.4 | The Variety-of-Evidence Thesis | 103 |
4.5 | Auxiliary Theories | 107 |
5 | Testimony | 112 |
5.1 | The Value of Surprising Information | 112 |
5.2 | Testimonies from Independent Witnesses | 113 |
5.3 | Lower Priors, Higher Posteriors? | 115 |
5.4 | Generalizing to Many Witnesses | 121 |
5.5 | Shopping for Consumer Products | 123 |
Epilogue | 128 | |
Appendix | 131 | |
References | 154 | |
Index | 157 |
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