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, 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.
翻译:人们对机器学习和创造性领域的兴趣日益浓厚,本调查概述了计算创造性理论、机器学习技术(包括基因深层学习)和相应的自动评价方法的历史和最新水平,在对这一领域的关键贡献进行批判性讨论之后,我们概述了该领域目前的研究挑战和新出现的机会。