Computational Creativity (CC) combines elements of Artificial Intelligence (AI), cognitive science, philosophy andart in order tobuild and study computational systemswhichmodel or display “creative” behaviours. In recent years, there has been a significant public-interest rise in AI, and while this hype has been the source of delight for technology journalists and others, it has been resulting in new challenges for the technologists, industry, scientists and academics to pace themselves with the rising demand to “include” AI in new products and research. Understandably, CC is largely impacted with the progress in AI, which is one of the key areas providing the necessary tools facilitating the generation of “creativity”; albeit still far from the strong notion of creativity (al-Rifaie & Bishop, 2015), this field has been growing steadily with more researchers joining the community, and the well-established conferences (in addition to the CC-dedicated ones) providing platforms for the exchange of ideas. Given themultidisciplinary andmultifacetednature of CC andparticipants’ diverse background, heated debates have set themselves as the inevitable and integral parts of events on this domain. Despite the surge in the use of digital tools in creative production in CC, researchers are actively pursuing, not only the technical state-of-the-art in CC, but also the theoretical and philosophical implications; this is thanks to the ability of the computationally “creative” systems which are able to provide a new lens for scientists, philosophers, technologists, creative practitioners and the general public to explore notions of creativity and artificial intelligence. This special issue journal, Computational Creativity: Automation or Collaboration, groups together a few invited work, stemming from the 2017 Convention of the Society for the Study of Artificial Intelligence and the Simulation of Behaviour (AISB) which was held at the University of Bath, UK, and focuses on the collaboration between human and machine as well as the attempt to automate (or interact with) the process in the context of computational creativity.1 The first work, “Towards Transformational Creation of Novel Songs”, elaborates on its attempt to study transformational computational creativity in the context of song writing, as well as a system capable of altering its own goals and operations. This work, elegantly looks at CC and song generation through three broad yet connected perspectives of: the output of the application and its challenges; the technical aspects through constraint programming; and the conceptual parts where the system is provided with some agency and responsibility with regard to setting its own search space and goals. In “Dynamic Emphatical Narration for Reduced Authorial Burden and Increased User Freedom in Interactive Storytelling”, the authors present solutions based on dynamic narration in the context of interactive storytelling systems, where the main challenge is to grant the author the ability to maintain some control over the process

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计算创造力 (CC) 结合了人工智能 (AI)、认知科学、哲学和艺术的元素，以构建和研究模拟或展示“创造性”行为的计算系统。近年来，人工智能的公共利益显着上升，虽然这种炒作一直是技术记者和其他人的喜悦之源，但它也给技术人员、行业、科学家和学者带来了新的挑战。随着在新产品和研究中“包含”人工智能的需求不断增长。可以理解，CC 在很大程度上受到人工智能进步的影响，人工智能是提供必要工具促进“创造力”产生的关键领域之一；尽管离创造力的强大概念还很远（al-Rifaie & Bishop，2015），随着越来越多的研究人员加入社区，这个领域一直在稳步增长，而完善的会议（除了 CC 专用会议）为思想交流提供了平台。鉴于CC的多学科性和多面性以及参与者的不同背景，激烈的辩论已成为该领域事件的必然和不可分割的部分。尽管在 CC 的创意制作中使用数字工具的数量激增，但研究人员正在积极追求，不仅是 CC 的技术水平，还有理论和哲学意义；这要归功于计算“创造性”系统的能力，它能够为科学家、哲学家、技术人员、创意从业者和公众探索创意和人工智能的概念。这本特刊《计算创造力：自动化或协作》汇集了一些受邀的工作，这些工作源于 2017 年在巴斯大学举行的人工智能和行为模拟研究学会 (AISB) 大会，英国，专注于人与机器之间的合作以及在计算创造力的背景下尝试自动化（或与之交互）过程。 1第一部作品“小说歌曲的转型创作”详细阐述了其尝试在歌曲创作的背景下研究变革性的计算创造力，以及一个能够改变自己的目标和操作的系统。这项工作，通过以下三个广泛但相互关联的视角优雅地看待 CC 和歌曲生成： 应用程序的输出及其挑战；通过约束规划的技术方面；以及系统在设置自己的搜索空间和目标方面具有某种代理和责任的概念部分。在“交互式叙事中减少作者负担和增加用户自由的动态强调叙述”中，作者在交互式叙事系统的背景下提出了基于动态叙述的解决方案，其中主要挑战是授予作者保持对某些控制的能力过程 以及系统在设置自己的搜索空间和目标方面具有某种代理和责任的概念部分。在“交互式叙事中减少作者负担和增加用户自由的动态强调叙述”中，作者提出了在交互式叙事系统上下文中基于动态叙述的解决方案，其中主要挑战是授予作者对某些控制的能力过程 以及系统在设置自己的搜索空间和目标方面具有某种代理和责任的概念部分。在“交互式叙事中减少作者负担和增加用户自由的动态强调叙述”中，作者在交互式叙事系统的背景下提出了基于动态叙述的解决方案，其中主要挑战是授予作者保持对某些控制的能力过程