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

Yana Agafonova, Alexey Tikhonov and Ivan P. Yamshchikov
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Yana Agafonova: School of Arts and Humanities, Department of Philology, National Research University Higher School of Economics, 199034 St. Petersburg, Russia
Alexey Tikhonov: Yandex, 10117 Berlin, Germany
Ivan P. Yamshchikov: Max Planck Institute for Mathematics in the Sciences, Max Planck Society, 04103 Leipzig, Germany

Future Internet, 2020, vol. 12, issue 11, 1-12

Abstract: 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.

Keywords: computational creativity; computational narrative; natural language generation; autonomous text generation; receptive theory; chance discovery (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2020
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