From grammar to text: a semiotic perspective on a paradigm shift in computation and its usages Article Swipe
Programming is a relevant semiotic activity, resulting in millions of lines of written code: the whole digital revolution is still rooted in writing as a semiotic activity. In relation to this, AI applications based on deep learning do not present particular features. They are standard computer programs relying on the von Neumann/Turing architecture. Yet there is an interesting epistemological difference. A distinction can be made between classical programming and machine learning. As the task for programming is always problem solving, in classical programming, the programmer has to input rules and data in order to gather answers in output. A machine learning approach requires a different epistemological wiring: the programmer inputs data and the required answers, while the software learns or discovers the rules. These two approaches to programming can be characterized from a semiotic perspective by referring to the couple “grammar” versus “text” and “allography” versus “autography.” A grammar defines a set of rules to be applied so that an output is generated that is formally consistent with the prescribed rules. Rather, a text acts as an example from which to infer regularities in order to generate a new text. This epistemological shift on the computation side is coupled with an analogous one on the user side. As data, that is – semiotically – texts, are the driving force, users have to focus on sets of examples in order to cope with the algorithms. The contribution discusses this shift by taking into account the relative changes in agency.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1515/sem-2024-0187
- OA Status
- diamond
- References
- 14
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- OpenAlex ID
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https://openalex.org/W4406649799Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1515/sem-2024-0187Digital Object Identifier
- Title
-
From grammar to text: a semiotic perspective on a paradigm shift in computation and its usagesWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-01-01Full publication date if available
- Authors
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Andrea ValleList of authors in order
- Landing page
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https://doi.org/10.1515/sem-2024-0187Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1515/sem-2024-0187Direct OA link when available
- Concepts
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Semiotics, Perspective (graphical), Linguistics, Grammar, Paradigm shift, Computer science, Computation, Generative grammar, Natural language processing, Sociology, Artificial intelligence, Philosophy, Programming language, EpistemologyTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.learning. | 71 |
| abstract_inverted_index.referring | 137 |
| abstract_inverted_index.resulting | 7 |
| abstract_inverted_index.approaches | 126 |
| abstract_inverted_index.consistent | 167 |
| abstract_inverted_index.particular | 41 |
| abstract_inverted_index.prescribed | 170 |
| abstract_inverted_index.programmer | 85, 109 |
| abstract_inverted_index.revolution | 18 |
| abstract_inverted_index.“text” | 143 |
| abstract_inverted_index.Programming | 1 |
| abstract_inverted_index.algorithms. | 234 |
| abstract_inverted_index.computation | 196 |
| abstract_inverted_index.difference. | 60 |
| abstract_inverted_index.distinction | 62 |
| abstract_inverted_index.interesting | 58 |
| abstract_inverted_index.perspective | 135 |
| abstract_inverted_index.programming | 68, 76, 128 |
| abstract_inverted_index.applications | 33 |
| abstract_inverted_index.contribution | 236 |
| abstract_inverted_index.programming, | 83 |
| abstract_inverted_index.regularities | 183 |
| abstract_inverted_index.semiotically | 213 |
| abstract_inverted_index.architecture. | 53 |
| abstract_inverted_index.characterized | 131 |
| abstract_inverted_index.“grammar” | 141 |
| abstract_inverted_index.Neumann/Turing | 52 |
| abstract_inverted_index.epistemological | 59, 106, 192 |
| abstract_inverted_index.“allography” | 145 |
| abstract_inverted_index.“autography.” | 147 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5109964951 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 1 |
| corresponding_institution_ids | https://openalex.org/I55143463 |
| citation_normalized_percentile.value | 0.01811466 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |