Induction, Algorithmic Learning Theory, and Philosophy

Editors:

ISBN: 978-1-4020-6126-4 (Print) 978-1-4020-6127-1 (Online)

Table of contents (11 chapters)

  1. Front Matter

    Pages I-XIII

  2. Introduction to the Philosophy and Mathematics of Algorithmic Learning Theory

    1. Front Matter

      Pages 1-1

    2. No Access

      Book Chapter

      Pages 1-24

      Introduction to the Philosophy and Mathematics of Algorithmic Learning Theory

  3. Technical Papers

    1. Front Matter

      Pages 25-25

    2. No Access

      Book Chapter

      Pages 27-54

      Inductive Inference Systems for Learning Classes of Algorithmically Generated Sets and Structures

    3. No Access

      Book Chapter

      Pages 55-110

      Deduction, Induction, and beyond in Parametric Logic

    4. No Access

      Book Chapter

      Pages 111-143

      How Simplicity Helps You Find the Truth without Pointing at it

    5. No Access

      Book Chapter

      Pages 145-154

      Induction over the Continuum

  4. Philosophy Papers

    1. Front Matter

      Pages 155-155

    2. No Access

      Book Chapter

      Pages 157-178

      Logically Reliable Inductive Inference

    3. No Access

      Book Chapter

      Pages 179-197

      Some Philosophical Concerns about the Confidence in ‘Confident Learning’

    4. No Access

      Book Chapter

      Pages 199-217

      How to Do Things with an Infinite Regress

    5. No Access

      Book Chapter

      Pages 219-232

      Trade-Offs

    6. No Access

      Book Chapter

      Pages 233-258

      Two Ways of Thinking about Induction

    7. No Access

      Book Chapter

      Pages 259-278

      Between History and Logic

  5. Back Matter

    Pages 279-287