Creativity and Machine Learning: A Survey

Giorgio Franceschelli, Mirco Musolesi

arXiv (Cornell University) · 2021 · 14 citations · 201 references

DOIFull text

Open access

Concepts

Abstract

There is a growing interest in the area of machine learning and creativity. This survey presents an overview of the history and the state of the art of computational creativity theories, key machine learning techniques (including generative deep learning), and corresponding automatic evaluation methods. After presenting a critical discussion of the key contributions in this area, we outline the current research challenges and emerging opportunities in this field.

References

201