There are two aspects of machine learning and artificial intelligence: (1) interpreting information, and (2) inventing new useful information. Much advance has been made for (1) with a focus on pattern recognition techniques (e.g., interpreting visual data). This paper focuses on (2) with intelligent duplication (ID) for invention. We explore the possibility of learning a specific individual's creative reasoning in order to leverage the learned expertise and talent to invent new information. More specifically, we employ a deep learning system to learn from the great composer Beethoven and capture his composition ability in a hash-based knowledge base. This new form of knowledge base provides a reasoning facility to drive the music composition through a novel music generation method.

翻译：机器学习和人工智能有两个方面：(1) 解释信息，(2) 创造新的有用信息。在(1)方面已取得显著进展，主要聚焦于模式识别技术（例如视觉数据解释）。本文聚焦于(2)方面，通过智能复制（ID）实现创造。我们探索学习特定个体创造性推理能力的可能性，以便利用其习得的专业知识和天赋来创造新信息。具体而言，我们采用深度学习系统向伟大的作曲家贝多芬学习，并将其作曲能力捕获至基于哈希的知识库中。这种新型知识库提供了一种推理机制，通过新颖的音乐生成方法驱动音乐创作。