论文标题
偏执型变形金刚：阅读疯狂的叙事作为创造力的计算方法
Paranoid Transformer: Reading Narrative of Madness as Computational Approach to Creativity
论文作者
论文摘要
本文在计算创造力的背景下重新审视了接受理论。它提出了一个偏执型变压器的案例研究 - 一种具有原始输出的完全自主的文本生成引擎，可以将其读成疯狂的数字角色的叙述，而无需任何其他人类过滤。我们描述了生成系统的技术细节，提供了输出的示例，并讨论了接受理论的影响，边缘精神状态对计算创造力的理解的影响。
This papers revisits the receptive theory in context of computational creativity. It presents a case study of a Paranoid Transformer - a fully autonomous text generation engine with raw output that could be read as the narrative of a mad digital persona without any additional human post-filtering. We describe technical details of the generative system, provide examples of output and discuss the impact of receptive theory, chance discovery and simulation of fringe mental state on the understanding of computational creativity.
