AuthorSzaniawski, Klemens. author
TitleOn Science, Inference, Information and Decision-Making [electronic resource] : Selected Essays in the Philosophy of Science / by Klemens Szaniawski ; edited by Adam Chmielewski, Jan Woleลski
ImprintDordrecht : Springer Netherlands : Imprint: Springer, 1998
Connect tohttp://dx.doi.org/10.1007/978-94-011-5260-0
Descript XIV, 242 p. online resource

CONTENT

I. On Science -- 1. Some remarks on the philosophy of science -- 2. Information and decision-making as tools of philosophy of science -- 3. Method and creativity in science -- 4. Sociology and models of rational behaviour -- 5. Mathematical models and social facts -- 6. Science as a search for information -- II. On Inference -- 7. Inference or behaviour? -- 8. A note on confirmation of statistical hypotheses -- 9. On some basic patterns of statistical inference -- 10. A method of deciding between N statistical hypotheses -- 11. A pragmatic justification of rules of statistical inference -- 12. On sequential inference -- 13. Interpretations of the maximum likelihood principle -- III. On Information and Decision Making -- 14. Some remarks concerning the criterion of rational decision-making -- 15. The concept of distribution of goods -- 16. The value of perfect information -- 17. Questions and their pragmatic value -- 18. Two concepts of information -- 19. Types of information and their role in the methodology of science -- 20. Information in decision-making. Some logical aspects -- 21. Decision-making and future research. Some theoretical problems -- 22. On formal aspects of distributive justice -- 23. Philosophy and decision-making -- 24. The concept of unreliable information -- 25. On defining information -- 26. Rationality as a value -- Index of Names


SUBJECT

  1. Philosophy
  2. Logic
  3. Philosophy and science
  4. Philosophy and social sciences
  5. Probabilities
  6. Statistics
  7. Philosophy
  8. Logic
  9. Statistics
  10. general
  11. Philosophy of Science
  12. Philosophy of the Social Sciences
  13. Probability Theory and Stochastic Processes