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Philosophies 2019, 4(1), 8;

AlphaGo, Locked Strategies, and Eco-Cognitive Openness

Department of Humanities, Philosophy Section, and Computational Philosophy Laboratory, University of Pavia, 27100 Pavia, Italy
Received: 11 January 2019 / Revised: 3 February 2019 / Accepted: 11 February 2019 / Published: 16 February 2019
(This article belongs to the Special Issue Philosophy and Epistemology of Deep Learning)
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Locked and unlocked strategies are at the center of this article, as ways of shedding new light on the cognitive aspects of deep learning machines. The character and the role of these cognitive strategies, which are occurring both in humans and in computational machines, is indeed strictly related to the generation of cognitive outputs, which range from weak to strong level of knowledge creativity. I maintain that these differences lead to important consequences when we analyze computational AI programs, such as AlphaGo, which aim at performing various kinds of abductive hypothetical reasoning. In these cases, the programs are characterized by locked abductive strategies: they deal with weak (even if sometimes amazing) kinds of hypothetical creative reasoning, because they are limited in what I call eco-cognitive openness, which instead qualifies human cognizers who are performing higher kinds of abductive creative reasoning, where cognitive strategies are instead unlocked. View Full-Text
Keywords: abduction; creativity; eco-cognitive openness; locked and unlocked strategies; Go game; AlphaGo; deep learning abduction; creativity; eco-cognitive openness; locked and unlocked strategies; Go game; AlphaGo; deep learning
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Magnani, L. AlphaGo, Locked Strategies, and Eco-Cognitive Openness. Philosophies 2019, 4, 8.

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