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首页> 外文会议>ACM SIGCHI conference on creativity and cognition 2009 >Evaluating Machine Creativity
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Evaluating Machine Creativity

机译：评估机器创造力

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Can a computer be creative? And what can we learn about our own creativity from studying computational creativity? My rrnresearch offers a comprehensive and practically useful investigation into how to evaluate the level of creativity rrndemonstrated by computational systems. How should something so subjective as creativity be measured? I argue that it is most rrnproductive to treat creativity as a collection of inter-related factors such as originality, value and productivity, which rrnare more tightly defined and therefore more amenable to measurement. Potential factors are being derived from empirical rrnstudies examining a wide variety of our writings on creativity. These will be tested in a simulation of a creative rrnenvironment: the best performing factors will be applied to evaluation of existing creative systems, in comparison to rrnassessments made by human judges. The aim of this is to identify key components for creativity, giving insight into how to rrnapproach the evaluation and improvement of computational systems and also towards human creativity as well.
机译：电脑可以创意吗？通过研究计算创造力，我们可以从中学到什么？我的研究对如何评估计算系统所展示的创造力水平进行了全面而实用的调查。应该如何衡量像创意这样主观的东西？我认为将创造力视为相互关联的因素（如创意，价值和生产力）的集合最有成效，这些因素被更严格地定义，因此更易于度量。潜在的因素是从实证研究中得出的，这些实证研究研究了我们有关创造力的各种著作。这些将在创意环境的模拟中进行测试：与人类法官的举报相比，表现最佳的因素将用于评估现有创意系统。这样做的目的是确定创造力的关键组成部分，从而洞悉如何有效地评估和改进计算系统，以及人类创造力。

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