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.

Franceschelli, G., Musolesi, M. (2024). Creativity and Machine Learning: A Survey. ACM COMPUTING SURVEYS, 56(11), 1-41 [10.1145/3664595].

Creativity and Machine Learning: A Survey

Franceschelli, Giorgio
;
Musolesi, Mirco
2024

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.
2024
Franceschelli, G., Musolesi, M. (2024). Creativity and Machine Learning: A Survey. ACM COMPUTING SURVEYS, 56(11), 1-41 [10.1145/3664595].
Franceschelli, Giorgio; Musolesi, Mirco
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/969619
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