Toward an algorithmic metaphysics

In David Dowe (ed.), Algorithmic Probability and Friends: Bayesian Prediction and Artificial Intelligence. Springer. pp. 306-317 (2013)
Download Edit this record How to cite View on PhilPapers
Abstract
There are writers in both metaphysics and algorithmic information theory (AIT) who seem to think that the latter could provide a formal theory of the former. This paper is intended as a step in that direction. It demonstrates how AIT might be used to define basic metaphysical notions such as *object* and *property* for a simple, idealized world. The extent to which these definitions capture intuitions about the metaphysics of the simple world, times the extent to which we think the simple world is analogous to our own, will determine a lower bound for basing a metaphysics for *our* world on AIT.
PhilPapers/Archive ID
PETTAA-9
Upload history
Archival date: 2018-02-12
View other versions
Added to PP index
2018-02-12

Total views
218 ( #22,047 of 53,671 )

Recent downloads (6 months)
45 ( #14,460 of 53,671 )

How can I increase my downloads?

Downloads since first upload
This graph includes both downloads from PhilArchive and clicks on external links on PhilPapers.