How Gruesome are the No-free-lunch Theorems for Machine Learning?

Croatian Journal of Philosophy 18 (3):479-485 (2018)
  Copy   BIBTEX

Abstract

No-free-lunch theorems are important theoretical result in the fields of machine learning and artificial intelligence. Researchers in this fields often claim that the theorems are based on Hume’s argument about induction and represent a formalisation of the argument. This paper argues that this is erroneous but that the theorems correspond to and formalise Goodman’s new riddle of induction. To demonstrate the correspondence among the theorems and Goodman’s argument, a formalisation of the latter in the spirit of the former is sketched.

Other Versions

No versions found

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 101,173

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

The Implications of the No-Free-Lunch Theorems for Meta-induction.David H. Wolpert - 2023 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 54 (3):421-432.
Intelligent design and the NFL theorems.Olle Häggström - 2007 - Biology and Philosophy 22 (2):217-230.
Minds, Machines and Gödel.Zvonimir Šikić - 2024 - Croatian Journal of Philosophy 24 (72):381-386.
Simulation of biological evolution and the nfl theorems.Ronald Meester - 2009 - Biology and Philosophy 24 (4):461-472.
Philosophy through Machine Learning.Daniel Lim - 2020 - Teaching Philosophy 43 (1):29-46.

Analytics

Added to PP
2019-02-15

Downloads
28 (#797,889)

6 months
5 (#1,037,427)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

Davor Lauc
University of Zagreb

References found in this work

No references found.

Add more references