PhilSci Archive

Machine Epistemology and Big Data

Wheeler, Gregory (2016) Machine Epistemology and Big Data. [Preprint]

This is the latest version of this item.

[img]
Preview
Text
Machine-Epistemology.pdf

Download (134kB) | Preview

Export/Citation: EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL
Social Networking:
Share |

Item Type: Preprint
Creators:
CreatorsEmailORCID
Wheeler, Gregorygregory.r.wheeler@gmail.com
Additional Information: To appear in The Routledge Companion to the Philosophy of Social Science
Keywords: Machine Learning, Pragmatism, Philosophy of AI
Subjects: Specific Sciences > Artificial Intelligence
General Issues > Formal Learning Theory
General Issues > Models and Idealization
General Issues > Operationalism/Instrumentalism
Specific Sciences > Probability/Statistics
General Issues > Technology
General Issues > Values In Science
Depositing User: Gregory Wheeler
Date Deposited: 09 Feb 2017 17:28
Last Modified: 09 Feb 2017 17:28
Item ID: 12804
Subjects: Specific Sciences > Artificial Intelligence
General Issues > Formal Learning Theory
General Issues > Models and Idealization
General Issues > Operationalism/Instrumentalism
Specific Sciences > Probability/Statistics
General Issues > Technology
General Issues > Values In Science
Date: 15 November 2016
URI: https://philsci-archive.pitt.edu/id/eprint/12804

Available Versions of this Item

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item