Repository URL:
http://philsci-archive.pitt.edu/id/eprint/11956
Author(s):
Tim Räz
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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.

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