合成性创造力:计算创造力的一种“实现”方式
Synthetic Creativity: A “Realization” of Computational Creativity
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摘要: 作为人工智能前沿分支的计算创造力正飞速高质量发展。已开发的有创新能力的人工系统样式很多,主要有两大类,一是有自己独立自主创造力的软件系统,二是大量合成性计算创新系统,其特点是,不由单系统独自完成,而离不开别的系统甚至人类专家及用户的合作、协同、参与,主要表现为创造力支持工具、“共创造力”、“创造力同僚”、群体创造力、计算社会创造力等子类。这些千姿百态、功能各异的创造力样式既烘托着计算创造力研究领域的兴旺和灿烂前景,又为我们重思创造力的本质,让创造力哲学研究上新台阶,提供了难得的思想材料。要推进这一研究,首先是概念化,梳理和澄清计算创造力内涵、外延,为它的健康发展准备可靠的理论地基;其次,认识到计算创造力与创造力哲学的双向挑战、互辅关系,充分发挥创造力哲学在解决其基础理论难题中的作用;再次,看到创造力的创造问题从根本上说是一个“实现”问题。Abstract: Computational creativity is a rapidly advancing subfield of artificial intelligence.Artificial systems endowed with innovative potential can be broadly categorized into two types:autonomous systems that exhibit independent creativity,and synthetic computational creativity systems,which require human expertise or the collaboration of multiple systems.These include creativity support tools,co-creativity,creativity peers,group creativity,and computational social creativity.These diverse and functional forms of creativity not only underscore the promising future of the computational creativity field but also offer valuable insights into rethinking the nature of creativity.To further advance this domain,it is crucial to:conceptualize and define the boundaries of computational creativity,thereby establishing a solid theoretical foundation for its development;recognize the mutually beneficial relationship between computational creativity and the philosophy of creativity,enabling philosophical frameworks to address fundamental theoretical challenges;and understand that the creation of creativity is fundamentally a process of “realization”.
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Key words:
- computational creativity /
- creativity support tools /
- co-creativity /
- group creativity
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