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

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:	Creators Email ORCID Wheeler, Gregory gregory.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:	16 Jun 2016 12:37
Last Modified:	16 Jun 2016 12:37
Item ID:	12204
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 April 2016
URI:	https://philsci-archive.pitt.edu/id/eprint/12204

Available Versions of this Item

• Machine Epistemology and Big Data. (deposited 16 Jun 2016 12:37) [Currently Displayed]
  • Machine Epistemology and Big Data. (deposited 09 Feb 2017 17:28)

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item