Räz, Tim (2016) The Necessity of Learning for Agency. [Preprint]
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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.
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| Item Type: | Preprint | ||||||
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| Keywords: | agency, control, learning, machine learning, artificial intelligence, PS model | ||||||
| Subjects: | Specific Sciences > 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 > Artificial Intelligence | ||||||
| Date: | 9 March 2016 | ||||||
| URI: | https://philsci-archive.pitt.edu/id/eprint/11956 |
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