Theorizing Mathematical Narrative through Machine Learning

The myth of the analogy of human brain and computer drives technical terminology as well: as computer scientist and information philosopher Brian Cantwell Smith explains, the architecture of the most recent wave of artificial forms of intelligence, embodied in machine learning techniques,2 is typica...

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Bibliographic Details
Published in:Journal of narrative theory 2023, Vol.53 (1), p.139-165
Main Author: Gati, Daniella
Format: Article
Language:English
Subjects:
Algorithms
Artificial intelligence
Brain
Doxiadis, Apostolos
Folklore
Language usage
Machine learning
Mathematics
Mazur, Barry
Narratives
Narratology
Neural networks
Otherness
Scientific technical language
Terminology
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Summary:The myth of the analogy of human brain and computer drives technical terminology as well: as computer scientist and information philosopher Brian Cantwell Smith explains, the architecture of the most recent wave of artificial forms of intelligence, embodied in machine learning techniques,2 is typically designated by the term neural networks because of [its] topological similarity to the way the brain is organized at the neural level (47). [...]technical (or technical-seeming) definitions and mythologizing narratives converge in producing our dominant understanding of artificial intelligence, specifically of its machine learning components. Rather, I take stories to mean simply temporal "mental constructs" and narratives as discourse acts-that is, spoken or written utterances by a narrator-that organize "life itself" into these temporal sequences. [...]my use of narrative or story is not meant to index, per se, literariness or similarity to creative fictional or nonfictional language use, although I recognize that the temporal sequences to which narrative has recourse often borrow from particular and familiar forms in literature or folk tales. [...]representation may or may not be narrative; and narrative may or may not take as its subject phenomena or events that possess intrinsic sequential temporalities. [...]our attempts to organize experience into narratable temporal sequences sometimes conflict with the more ambiguous temporalities of objects and phenomena, causing distortions in our perception of those phenomena.
ISSN:1549-0815
1548-9248
1548-9248
DOI:10.1353/jnt.2023.0003