Musicat: a computational model of creativity in a musical domain

Musicat：音乐领域创造力的计算模型

• 批准号: 0738384
• 负责人: Douglas Hofstadter
• 金额: --
• 依托单位: Indiana University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2010-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0738384&HistoricalAwards=false
• 关键词: Musicat; computational; model; creativity; musical

This project takes a new approach to understanding human creativity, based on cognitive modeling of creative thought in a musical domain. Cognitive models developed by the Fluid Analogies Research Group (FARG) at the Center for Research on Concepts and Cognition (CRCC) in the past three decades have provided new insight into a wide variety of creative tasks such as solving analogy problems, extrapolating number sequences, and designing typefaces. The domain of music provides an opportunity to extend these techniques for the study of fundamental mechanisms of cognition and creativity. Specifically, the proposed research aims to develop a novel model of music cognition that simulates the creative processes involved in music ? not, however, in the composition or improvisation of music, but in the seemingly much simpler and more common act of music perception. How is music perception creative? Perception is an active process where the brain interprets sensory inputs, and transforms the raw input into a compressed format. Far from being a passive, robotic algorithm, this process of interpretation is quite dynamic and influenced by cognitive context. Such perception is not only subjective, but creative, as evidenced by its generation of novel internal representations of sensory data. A central tenet of the philosophy underlying this work is that the exact same processes that drive the creative perception of sensory input also give rise to the high-level generation of creative thoughts, ideas, and works of art.

这个项目采取了一种新的方法来理解人类的创造力，基于音乐领域的创造性思维的认知建模。在过去的三十年里，由概念与认知研究中心（CRCC）的流体类比研究小组（FARG）开发的认知模型为各种创造性任务提供了新的见解，如解决类比问题，推断数字序列和设计字体。音乐领域提供了一个机会，以扩大这些技术的认知和创造力的基本机制的研究。具体而言，拟议的研究旨在开发一种新的音乐认知模型，模拟音乐中涉及的创造性过程？然而，这并不表现在音乐的创作或即兴创作上，而是表现在音乐感知这一看似简单得多、更常见的行为上。音乐感知是如何创造的？感知是一个主动的过程，大脑解释感官输入，并将原始输入转换为压缩格式。这一解释过程远非一种被动的、机器人式的算法，而是相当动态的，并受到认知语境的影响。这种感知不仅是主观的，而且是创造性的，这一点可以从它对感觉数据产生的新颖的内部表征中得到证明。这项工作背后的哲学的一个中心原则是，驱动感官输入的创造性感知的过程也会产生创造性思想，想法和艺术作品的高层次生成。