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https://doi.org/10.32701/dp.23.1.6

A Prolegomenon on the Philosophical Foundations of Deep Learning as Theory of (Artificial) Intelligence

Sandro Skansi orcid id orcid.org/0000-0002-3851-1186 ; Fakultet hrvatskih studija Sveučilišta u Zagrebu, Zagreb, Hrvatska
Marko Kardum orcid id orcid.org/0000-0002-0797-6677 ; Fakultet hrvatskih studija Sveučilišta u Zagrebu, Zagreb, Hrvatska


Puni tekst: engleski pdf 789 Kb

str. 89-99

preuzimanja: 111

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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.

Ključne riječi

artificial intelligence, cybernetics, deep learning, empiricism, neural networks

Hrčak ID:

272115

URI

https://hrcak.srce.hr/272115

Podaci na drugim jezicima: hrvatski

Posjeta: 341 *