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Art of Abduction [Mīkstie vāki]

  • Formāts: Paperback / softback, 328 pages, height x width: 229x152 mm, 23
  • Izdošanas datums: 03-May-2022
  • Izdevniecība: MIT Press
  • ISBN-10: 0262046709
  • ISBN-13: 9780262046701
Citas grāmatas par šo tēmu:
  • Mīkstie vāki
  • Cena: 65,12 €
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  • Formāts: Paperback / softback, 328 pages, height x width: 229x152 mm, 23
  • Izdošanas datums: 03-May-2022
  • Izdevniecība: MIT Press
  • ISBN-10: 0262046709
  • ISBN-13: 9780262046701
Citas grāmatas par šo tēmu:
"A defense of the rationality of adductive inference from the criticisms of Bayesian theorists"--

A novel defense of abduction, one of the main forms of nondeductive reasoning.

With this book, Igor Douven offers the first comprehensive defense of abduction, a form of nondeductive reasoning. Abductive reasoning, which is guided by explanatory considerations, has been under normative pressure since the advent of Bayesian approaches to rationality. Douven argues that, although it deviates from Bayesian tenets, abduction is nonetheless rational. Drawing on scientific results, in particular those from reasoning research, and using computer simulations, Douven addresses the main critiques of abduction. He shows that versions of abduction can perform better than the currently popular Bayesian approaches—and can even do the sort of heavy lifting that philosophers have hoped it would do.
 
Douven examines abduction in detail, comparing it to other modes of inference, explaining its historical roots, discussing various definitions of abduction given in the philosophical literature, and addressing the problem of underdetermination. He looks at reasoning research that investigates how judgments of explanation quality affect people’s beliefs and especially their changes of belief. He considers the two main objections to abduction, the dynamic Dutch book argument, and the inaccuracy-minimization argument, and then gives abduction a positive grounding, using agent-based models to show the superiority of abduction in some contexts. Finally, he puts abduction to work in a well-known underdetermination argument, the argument for skepticism regarding the external world.
 
List of Figures
xii
List of Tables
xiii
Preface xv
Acknowledgments xix
1 Introduction
1(28)
1.1 Why You Should Want to Know About Abduction
1(12)
1.2 Two Common Misconceptions
13(12)
1.3 Overview
25(4)
2 What Is Abduction?
29(40)
2.1 Abduction in the Wild
30(4)
2.2 Deduction, Induction, Abduction
34(21)
2.3 Abduction and Underdetermination
55(14)
3 The Psychology of Abduction
69(34)
3.1 Into the Mud
69(2)
3.2 The New Paradigm and Bayesian Rationality
71(12)
3.3 Explanation and Belief Change
83(6)
3.4 Just Noise?
89(5)
3.5 Explanatory Reasoning and Accuracy
94(2)
3.6 Good-Enough and Second-Best Explanations
96(4)
3.7 Should Philosophers Care?
100(3)
4 Facing the Challenges
103(32)
4.1 The Dynamic Dutch Book Argument Revisited
104(13)
4.2 Abductive Reasoning and Practical Interests
117(5)
4.3 Abduction and Our Epistemic Goal
122(9)
4.4 Summary
131(4)
5 A Closer Look at Scoring
135(22)
5.1 Standard Scoring Rules and Truthlikeness
135(8)
5.2 Truthlikeness and Inaccuracy Minimization
143(3)
5.3 Truthlikeness and Impropriety
146(11)
6 The Ecological Rationality of Abduction
157(32)
6.1 The Justification of Abduction
157(1)
6.2 Previous Defenses of Abduction
158(10)
6.3 Simulating Explanatory Reasoning
168(16)
6.4 Concluding Remarks
184(5)
7 The View from Social Epistemology
189(32)
7.1 The Hegselmann-Krause Model and Beyond
192(9)
7.2 Further Generalizing Group Learning
201(5)
7.3 Evolutionary Computing and Optimal Group Learning
206(8)
7.4 Optimal Group Learning in Action
214(3)
7.5 The Upshot
217(4)
8 An Abductive Response to the Skeptic
221(1)
8.1 The Skeptical Challenge
221(3)
8.2 Mooreans and Russellians against the Skeptic
224(7)
8.3 Evidence, Inference, and Expert Functions
231(12)
8.4 How to Resolve the Skepticism Debate?
243(10)
Epilogue
253(7)
Appendices
A Proof of Theorem 4.1
260(9)
B Proof of Theorem 5.1
269(4)
C Proof of Theorem 5.2
273(2)
D Proof of Theorem 8.1
275(4)
E Using Julia
279(22)
References 301(44)
Index 345