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退一步前进:为计算创造力的元评估设定标准

Stepping Back to Progress Forwards: Setting Standards for Meta-Evaluation of Computational Creativity
课程网址: http://videolectures.net/iccc2014_jordanous_stepping_back/  
主讲教师: Anna Jordanous
开课单位: 伦敦国王学院
开课时间: 2014-08-08
课程语种: 英语
中文简介:
如何评价计算创造力系统的创造力,越来越受到人们的关注。最近提出了许多不同的评估方法、策略和方法,导致了重点的转移:应该使用哪种方法来评估创造性系统?使用每种方法的优缺点是什么?简言之:我们如何评估不同的创造力评估方法?为了回答这个问题,从跨学科研究到良好的评价实践,我们设计了五个元评价标准。这五个标准是:正确性;有用性;忠诚是创造力的典范;方法的可用性;概括性在本文中,该标准用于比较和对比五种不同评估方法的性能。总之,这些元评估标准帮助我们探索每种创造力评估方法的优缺点,帮助我们开发我们作为计算创造力研究者可用的工具。
课程简介: There has been increasing attention paid to the question of how to evaluate the creativity of computational creativity systems. A number of different evaluation methods, strategies and approaches have been proposed recently, causing a shift in focus: which methodology should be used to evaluate creative systems? What are the pros and cons of using each method? In short: how can we evaluate the different creativity evaluation methodologies? To answer this question, five meta-evaluation criteria have been devised from cross-disciplinary research into good evaluative practice. These five criteria are: correctness; usefulness; faithfulness as a model of creativity; usability of the methodology; generality. In this paper, the criteria are used to compare and contrast the performance of five various evaluation methods. Together, these meta- evaluation criteria help us explore the advantages and disadvantages of each creativity evaluation methodology, helping us develop the tools we have available to us as computational creativity researchers.
关 键 词: 计算创造力系统; 评估创造性系统; 评价标准
课程来源: 视频讲座网
数据采集: 2021-10-28:zkj
最后编审: 2021-10-28:zkj
阅读次数: 42