Inductive influence

British Journal for the Philosophy of Science

Volumn 58, Issue 4, 2007, Pages 689-708

  Williamson, Jon ^a  

^a UNIVERSITY OF KENT   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 36549037193     PISSN: 00070882     EISSN: 14643537     Source Type: Journal    
DOI: 10.1093/bjps/axm032     Document Type: Article

References (25)

1. Camap, R. [1952]: The Continuum of Inductive Methods, Chicago, IL: University of Chicago Press.
2. Earman, J. [1992]: Bayes or Bust?, Cambridge, MA: MIT Press.
3. Feller, W. [1950]: Introduction to Probability Theory and Its Applications, New York: Wiley, Third edition (1971).
4. Gillies, D. [2000]: Philosophical Theories of Probability, London and New York: Routledge.
5. Good, I. J. [1965]: The Estimation of Probabilities: An Essay on Modern Bayesian Methods, Cambridge, MA: MIT Press.
6. Howson, C. and Urbach, P. [1989]: Scientific Reasoning: the Bayesian Approach, Chicago, IL: Open Court, Second edition (1993).
7. Jaynes, E. T. [2003]: Probability Theory: the Logic of Science, Cambridge: Cambridge University Press.
8. Johnson, W. E. [1932]: 'Probability: the Deductive and Inductive Problems', Mind, 41(164), pp. 409-23.
9. Nagl, S., Williams, M. and Williamson, J. [forthcoming]: 'Objective Bayesian nets for systems modelling and prognosis in breast cancer', to appear in D. Holmes and L. Jain (eds), Innovations in Bayesian Networks: Theory and Applications,, Berlin.
10. Neapolitan, R. E. [1990]: Probabilistic Reasoning in Expert Systems: Theory and Algorithms, New York: Wiley.
11. Nix, C. [2005]: Probabilistic Induction in the Predicate Calculus, PhD thesis, University of Manchester.
12. Nix, C. J. and Paris, J. B. [2006]: 'A Continuum of Inductive Methods Arising from a Generalised Principle of Instantial Relevance', Journal of Philosophical Logic, 35, pp. 83-115.
13. Paris, J. B. [1994]: The Uncertain Reasoner's Companion, Cambridge: Cambridge University Press.
14. Paris, J. B. and Vencovská, A. [2003]: 'The Emergence of Reasons Conjecture', Journal of Applied Logic, 1(3-4), pp. 167-95.
15. Pearl, J. [1988]: Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference, San Mateo, CA: Morgan Kaufmann.
16. Popper, K. R. [1957]: 'Probability Magic or Knowledge out of Ignorance', Dialectica, 11(3-4), pp. 354-74.
17. Rosenkrantz, R. D. [1977]: Inference, Method and Decision: Towards a Bayesian Philosophy of Science, Dordrecht: Reidel.
18. Williamson, J. [2002]: 'Maximising Entropy Efficiently', Electronic Transactions in Artificial Intelligence Journal, 6, 〈www.etaij.org〉.
19. Williamson, J. [2005a]: Bayesian Nets and Causality: Philosophical and Computational Foundations, Oxford: Oxford University Press.
20. Williamson, J. [2005b]: 'Objective Bayesian nets', in S. Artemov, H. Barringer, A. S. d'Avila Garcez, L. C. Lamb and J. Woods (eds), We Will Show Them! Essays in Honour of Dov Gabbay, Vol. 2, London: College Publications, pp. 713-30.
21. Williamson, J. [2006]: 'Motivating objective Bayesianism: from empirical constraints to objective probabilities', in W. L. Harper and G. R. Wheeler (eds), Probability and Inference: Essays in Honour of Henry E. Kyburg Jr., London: College Publications, pp. 151-79.
22. Williamson, J. [forthcoming (a)]: 'Philosophies of probability: objective Bayesianism and its challenges', to appear in A. Irvine (ed.), Handbook of the Philosophy of Mathematics, Volume 4 of Handbook of the Philosophy of Science,, Amsterdam.
23. Williamson, J. [forthcoming (b)]: Objective Bayesianism with Predicate Languages, in Synthese.
24. Wilmers, G. M., Hill, M. J. and Paris, J. B. [2002]: 'Some Observations on Induction in Predicate Probabilistic Reasoning', Journal of Philosophical Logic, 31, pp. 43-75.
25. Zabell, S. L. [1982]: 'W.E. Johnson's "Sufficientness" Postulate', The Annals of Statistics, 10(4), pp. 1090-9.