音乐研究中的符号人工智能与联结主义

P. Toiviainen
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引用次数: 26

摘要

在认知科学和人工智能研究中,有两个中心范式:符号范式和类比范式。在类比范式中,对人工神经网络或连接主义的兴趣在过去十年中经历了复苏;这种变化也体现在音乐造型领域。本文从一般层面和音乐研究的角度概述了符号人工智能与连接主义之间的关系。接下来是对人工神经网络的简短介绍,其中包括对其结构和功能的主要原理的描述,以及它们在音乐领域使用的演示示例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Symbolic AI versus Connectionism in Music Research
In cognitive science and research on artificial intelligence, there are two central paradigms: the symbolic and the analogical. Within the analogical paradigm, interest in artificial neural networks, or connectionism, has experienced a resurgence during the last decade; this change has also been reflected in the field of musical modeling. This article provides a general survey of the relationship between symbolic AI and connectionism, both on a general level and from the point of view of music research. This is followed by a short introduction to artificial neural networks, which includes a description the main principles of their structure and function as well as a presentation examples of their use in the field of music.
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