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Article

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

1
School of Arts and Humanities, Department of Philology, National Research University Higher School of Economics, 199034 St. Petersburg, Russia
2
Yandex, 10117 Berlin, Germany
3
Max Planck Institute for Mathematics in the Sciences, Max Planck Society, 04103 Leipzig, Germany
*
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in Agafonova, Y.; Tikhonov, A.; Yamshchikov, I. Paranoid Transformer: Reading Narrative of Madness as Computational Approach to Creativity. In Proceedings of the International Conference on Computational Creativity, Coimbra, Portugal, 10 September 2020.
Future Internet 2020, 12(11), 182; https://doi.org/10.3390/fi12110182
Received: 13 August 2020 / Revised: 8 October 2020 / Accepted: 20 October 2020 / Published: 27 October 2020
(This article belongs to the Special Issue Natural Language Engineering: Methods, Tasks and Applications)
This paper revisits the receptive theory in the 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. View Full-Text
Keywords: computational creativity; computational narrative; natural language generation; autonomous text generation; receptive theory; chance discovery computational creativity; computational narrative; natural language generation; autonomous text generation; receptive theory; chance discovery
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MDPI and ACS Style

Agafonova, Y.; Tikhonov, A.; Yamshchikov, I.P. Paranoid Transformer: Reading Narrative of Madness as Computational Approach to Creativity. Future Internet 2020, 12, 182. https://doi.org/10.3390/fi12110182

AMA Style

Agafonova Y, Tikhonov A, Yamshchikov IP. Paranoid Transformer: Reading Narrative of Madness as Computational Approach to Creativity. Future Internet. 2020; 12(11):182. https://doi.org/10.3390/fi12110182

Chicago/Turabian Style

Agafonova, Yana, Alexey Tikhonov, and Ivan P. Yamshchikov. 2020. "Paranoid Transformer: Reading Narrative of Madness as Computational Approach to Creativity" Future Internet 12, no. 11: 182. https://doi.org/10.3390/fi12110182

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