Pregled bibliografske jedinice broj: 1178269
A Prolegomenon on the Philosophical Foundations of Deep Learning as Theory of (Artificial) Intelligence
A Prolegomenon on the Philosophical Foundations of Deep Learning as Theory of (Artificial) Intelligence // Disputatio philosophica : international journal on philosophy and religion, 23 (2021), 1; 89-99 doi:10.32701/dp.23.1.6 (međunarodna recenzija, članak, znanstveni)
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Naslov
A Prolegomenon on the Philosophical Foundations of
Deep Learning as Theory of (Artificial)
Intelligence
(A Prolegomenon on the Philosophical Foundations of
Deep Learning as Theory of (Artificial) Intelligence)
Autori
Skansi, Sandro ; Kardum, Marko
Izvornik
Disputatio philosophica : international journal on philosophy and religion (1332-1056) 23
(2021), 1;
89-99
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
artificial intelligence, cybernetics, deep learning, empiricism, neural networks
Sažetak
This paper examines the philosophical foundations of deep learning. By pointing to the beginnings of deep learning and artificial neuron as a logical model of a human neuron, it is possible to claim that artificial intelligence was developed even before its official creation and that it was strongly connected to propositional logic. Bearing in mind some major setbacks in the development of neural networks, we show that deep learning can be treated as the theory of artificial intelligence and that it falls under artificial intelligence paradigm by claiming that everything can be done with learning alone and that all intelligent behavior is learnable. Thus, deep learning is a philosophical or an epistemological approach in which a form of radical empiricism must be advocated. Therefore, there is nothing in the mind that was not in the senses, and there cannot be anything in the mind that is not learnable.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Filozofija
POVEZANOST RADA
Ustanove:
Fakultet hrvatskih studija, Zagreb