Evidence, Decision and Causality
eBook - PDF

Evidence, Decision and Causality

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Evidence, Decision and Causality

About this book

Most philosophers agree that causal knowledge is essential to decision-making: agents should choose from the available options those that probably cause the outcomes that they want. This book argues against this theory and in favour of evidential or Bayesian decision theory, which emphasises the symptomatic value of options over their causal role. It examines a variety of settings, including economic theory, quantum mechanics and philosophical thought-experiments, where causal knowledge seems to make a practical difference. The arguments make novel use of machinery from other areas of philosophical inquiry, including first-person epistemology and the free will debate. The book also illustrates the applicability of decision theory itself to questions about the direction of time and the special epistemic status of agents.

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Yes, you can access Evidence, Decision and Causality by Arif Ahmed in PDF and/or ePUB format, as well as other popular books in Philosophy & Philosophy & Ethics in Science. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Halftitle
  3. Title
  4. Copyright
  5. Contents
  6. Preface
  7. Introduction
  8. Chapter 1 Savage
  9. Chapter 2 EDT and CDT
  10. Chapter 3 Causalist objections to CDT
  11. Chapter 4 Realistic cases
  12. Chapter 5 Deterministic cases
  13. Chapter 6 Quantum-mechanical cases
  14. Chapter 7 The standard Newcomb case
  15. Chapter 8 ‘The ultimate contingency’
  16. References
  17. Index