PhilSci Archive

The Necessity of Learning for Agency

Räz, Tim (2016) The Necessity of Learning for Agency. [Preprint]

[img] PDF
agency_learning_philsci.pdf - Draft Version

Download (1MB)

Abstract

The present paper examines the notion of agency using a model from artificial intelligence (AI). The main thesis of the paper is that learning is a necessary condition for agency: Agency presupposes control, and control is acquired in a learning process. This thesis is explored using the so-called PS model. After substantiation the thesis, the paper explores the relation between agency and different kinds of learning using the PS model.


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

Item Type: Preprint
Creators:
CreatorsEmailORCID
Räz, Timtim.raez@gmail.com
Keywords: agency, control, learning, machine learning, artificial intelligence, PS model
Subjects: Specific Sciences > Computer Science > Artificial Intelligence
Depositing User: Tim Räz
Date Deposited: 09 Mar 2016 14:40
Last Modified: 09 Mar 2016 14:40
Item ID: 11956
Subjects: Specific Sciences > Computer Science > Artificial Intelligence
Date: 9 March 2016
URI: http://philsci-archive.pitt.edu/id/eprint/11956

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item