Speculative Fiction and Pattern Recognition: Narrative Models for a Retrained Intuition

dc.authoridUstun, Berkay/0000-0003-4718-505X
dc.authorscopusid57208246566
dc.contributor.authorÜstün, Berkay
dc.contributor.otherİngiliz Dili ve Edebiyatı Bölümü
dc.date.accessioned2025-01-11T13:04:15Z
dc.date.available2025-01-11T13:04:15Z
dc.date.issued2023
dc.departmentFenerbahçe Universityen_US
dc.department-temp[Ustun, Berkay] Fenerbahce Univ, English Language & Literature Dept, Istanbul, Turkiyeen_US
dc.descriptionUstun, Berkay/0000-0003-4718-505Xen_US
dc.description.abstractThe notion of pattern recognition emerged in the late 1950s as an extension of advances in cybernetics and information theory. From the start, authors of science fiction and speculative fiction narratives made their own explorations of the concept, taking it to fields and extremes not predicted by the state of development of pattern recognition technologies. I argue that a pair of these narratives provide opportunities to observe the development of a public understanding of, and imaginaries deriving from, a vision of perception geared toward patterns, arrangements, and configurations that involve historical change. More specifically, these narratives stage questions of historical meaning and intuitive grasp of patterns of consumer behavior by modifying the notion they borrow from computational research through the intermediary of media theory. A second goal of the article is to examine literary history by taking the relevant works of Brunner and Gibson as favorable cases for observing the beginnings and transformations of the reception of pattern recognition concept by speculative fiction. The common reference they make to historical concretion serves as a constant across their differences here. Both fictions seem to stage the possibilities of pattern literacy as a human capacity that includes but is not reducible to one of its most famous and problematic avatars, which is that of a sense of conspiracy, belief gone awry, and/or paranoia (which, according to Fredric Jameson, is the "poor person's cognitive mapping''). Methodologically relying on a combination of media theory and close readings, the goal here is to ascertain whether such fictions constitute viable cases for a "pattern recognition from below", as distinct from a data-intensive pursuit. In this sense, this study neither constitutes an intellectual history of pattern recognition that reduces the object of its study to mere accouterments of context nor simply a close reading of each of the texts on their own terms. It is a comparative exercise that aims to gain surplus of historical and textual intelligibility through the juxtaposition of its chronologically distant narratives. From different angles, the two close readings treat the same core problem of the possibility to retain an affirmative approach to the historical-morphological possibilities inherent in pattern recognition and not consign it to an "ideology" of the information society. Keywords: Concrete, abstract, pattern recognition,en_US
dc.description.woscitationindexEmerging Sources Citation Index
dc.identifier.citation0
dc.identifier.doi10.22559/folklor.2396
dc.identifier.endpage886en_US
dc.identifier.issn1300-7491
dc.identifier.issn2791-6057
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85166418374
dc.identifier.scopusqualityQ4
dc.identifier.startpage869en_US
dc.identifier.urihttps://doi.org/10.22559/folklor.2396
dc.identifier.urihttps://hdl.handle.net/20.500.14627/336
dc.identifier.volume29en_US
dc.identifier.wosWOS:001180949900014
dc.institutionauthorUstun, Berkay
dc.language.isoenen_US
dc.publisherRector Ciu Cyprus int Univen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectConcreteen_US
dc.subjectAbstracten_US
dc.subjectPattern Recognitionen_US
dc.subjectAbductive Inferenceen_US
dc.subjectIntuitionen_US
dc.titleSpeculative Fiction and Pattern Recognition: Narrative Models for a Retrained Intuitionen_US
dc.typeArticleen_US
dspace.entity.typePublication
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