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Full Description
This open access book provides a method for philosophical problem solving, offering philosophers the tools to stay ahead of machine intelligence. Louis Vervoort argues that, with ultra-intelligent AI knocking at the door, philosophy can no longer rely solely on its ancient methodological toolkit. The proposed method is essentially the same as used in natural science, theoretical physics in particular, and aims at solving problems through theory-synthesis. The author shows by first case studies that current AI can already assist us in this task - a trend that will surely strengthen in the near future. After explaining the method in detail, the book proceeds by proposing unified solutions to classic problems of (analytic) philosophy, such as Gettier's problem, the problem of induction, of causation, of the interpretation of probability, of free will. The author argues that these solutions maximise a quantitative measure of solidity, and that philosophy can now reach standards of certainty that are comparable to those of natural science. The book is written for professional philosophers, but avoids jargon, so it should also be accessible to laypeople and scientists.
Contents
1 The Method of Synthetic Philosophy.- 2 The Problem of Induction Unmasked.- 3 Solving Gettier's Problem.- 4 The Scientific Concept of Probability.- 5 A Unified Definition of Cause.- 6 On Absolute Free Will.- 7 On Relative Free Will. The CMT Model.- 8 General Conclusion.- 9 Epilogue: Lines of Further Research.
