Arguments, Cognition, and Science
eBook - ePub

Arguments, Cognition, and Science

Need and Consequences of Probabilistic Induction in Science

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Arguments, Cognition, and Science

Need and Consequences of Probabilistic Induction in Science

About this book

Our reasoning evolved not for finding the truth, but for social bonding and convincing. The best logical methods humans have created provide no path to truth, unless something is assumed as true from the start. Other than that, we only have methods for attempting to measure uncertainty. This book highlights the consequences of these facts for scientific practice, and suggests how to correct the mistakes we still make. But even our best methods to measure uncertainty might require infinite resources to provide solid answers. This conclusion has important consequences for when and how much we can trust arguments and scientific results. The author suggests ways we can improve our current practices, and argues that theoretical work is a fundamental part of the most effective way to do science.

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Yes, you can access Arguments, Cognition, and Science by André C. R. Martins in PDF and/or ePUB format, as well as other popular books in Philosophy & Empiricism in Philosophy. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-Title
  3. Title
  4. Copyright
  5. Dedication
  6. Contents
  7. Introduction
  8. 1 Cognition and Knowledge
  9. 2 Individual Reasoning
  10. 3 Groups and Ideas
  11. 4 A Need for Standards
  12. 5 Logic and Artificial Worlds
  13. 6 Probabilistic Induction and Its Limits
  14. 7 Decisions
  15. 8 Dangers of Deciding on Ideas
  16. 9 Theories and Philosophy of Science
  17. 10 Solomonoff Induction
  18. 11 Ideas, Opinions, Theories, and Facts
  19. 12 On Arguments and Fallacies
  20. 13 As Many as Possible
  21. 14 Physics and Its Theories
  22. 15 Mathematical Arguments
  23. 16 Arguments in Humanities, Biology, and Mathematics
  24. 17 Complex Systems, Emergence, and Realism
  25. 18 Final Remarks
  26. Index