Combining Texts

All the ideas for 'Bayesianism', 'Events and Semantic Architecture' and 'The Human Animal'

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5 ideas

14. Science / C. Induction / 6. Bayes's Theorem

2798	Probability of H, given evidence E, is prob(H) x prob(E given H) / prob(E) [Horwich]

2799	Bayes' theorem explains why very surprising predictions have a higher value as evidence [Horwich]

16. Persons / B. Nature of the Self / 7. Self and Body / a. Self needs body

16236

Maybe our persistence conditions concern bodies, rather than persons [Olson, by Hawley]

6669	For 'animalism', I exist before I became a person, and can continue after it, so I am not a person [Olson, by Lowe]

19. Language / B. Reference / 5. Speaker's Reference

21650

No language is semantically referential; it all occurs at the level of thought or utterance [Pietroski, by Hofweber]