Beschreibung
Inhaltsangabeto the Philosophy and Mathematics of Algorithmic Learning Theory.- to the Philosophy and Mathematics of Algorithmic Learning Theory.- Technical Papers.- Inductive Inference Systems for Learning Classes of Algorithmically Generated Sets and Structures.- Deduction, Induction, and beyond in Parametric Logic.- How Simplicity Helps You Find the Truth without Pointing at it.- Induction over the Continuum.- Philosophy Papers.- Logically Reliable Inductive Inference.- Some Philosophical Concerns about the Confidence in 'Confident Learning'.- How to Do Things with an Infinite Regress.- Trade-Offs.- Two Ways of Thinking about Induction.- Between History and Logic.
Inhaltsverzeichnis
1. Introduction to the Philosophy and Mathematics of Algorithmic Learning Theory; Valentina Harizanov, Norma B. Goethe & Michele Friend.- Part I: Technical Papers.- 2. Inductive Inference Systems for Learning Classes of Algorithmically Generated Sets and Structures; Valentina Harizanov.- 3. Deduction, Induction and Beyond in Parametric Logic; Eric Martin, Arun Sharma & Frank Stephan.- 4. How Simplicity Helps You Find the Truth - Without Pointing at it; Kevin T. Kelly.- 5. Induction over the Continuum; Iraj Kalantari.- Part II: Philosophy Papers.- 6. Logically Reliable Inductive Inference; Oliver Schulte.- 7. Some Philosophical Concerns about our Confidence in a¿¿Confident Learning¿; Michele Friend.- 8. How to do Things with an Infinite Regress; Kevin T. Kelly.- 9. Trade-Offs; Clark Glymour.- 10. Two Ways of Thinking about Induction; Norma B. Goethe.- 11. Between Logic and History; Brendan Larvor.
