Paranoid Transformer: Reading Narrative of Madness as Computational Approach to Creativity

2020-07-13 · Yana Agafonova, Alexey Tikhonov, Ivan P. Yamshchikov

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.

📄 PDF Abstract BibTeX arXiv:2007.06290

Code (1)

altsoph/paranoid_transformer 공식 구현 pytorch

Tasks

Text Generation

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