What are neural networks not good at? On artificial creativity

Author:

Oleinik Anton1ORCID

Affiliation:

1. Memorial University of Newfoundland, Canada; The Central Economics and Mathematics Institute of the Russian Academy of Sciences, Moscow, Russia

Abstract

This article discusses three dimensions of creativity: metaphorical thinking; social interaction; and going beyond extrapolation in predictions. An overview of applications of neural networks in these three areas is offered. It is argued that the current reliance on the apparatus of statistical regression limits the scope of possibilities for neural networks in general, and in moving towards artificial creativity in particular. Artificial creativity may require revising some foundational principles on which neural networks are currently built.

Publisher

SAGE Publications

Subject

Library and Information Sciences,Information Systems and Management,Computer Science Applications,Communication,Information Systems

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