The Necessity of Learning for Agency

Publication Year:
2016
Usage 107
Downloads 107
Repository URL:
http://philsci-archive.pitt.edu/id/eprint/11956
Author(s):
Räz, Tim
preprint description
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.