Generative literature
| Generative literature | |
|---|---|
| Features | Poetry and fiction generated automatically, usually using computers. |
| Related genres | |
| Electronic literature, Digital poetry, Generative art | |
Generative literature is poetry or fiction that is automatically generated, often using computers. It is a genre of electronic literature, and also related to generative art.
John Clark's Latin Verse Machine (1830–1843) is probably the first example of mechanised generative literature,[1][2] while Christopher Strachey's love letter generator (1952) is the first digital example.[3] With the large language models (LLMs) of the 2020s, generative literature is becoming increasingly common.
Definitions
[edit | edit source]Hannes Bajohr defines generative literature as literature involving "the automatic production of text according to predetermined parameters, usually following a combinatory, sometimes aleatory logic, and it emphasizes the production rather than the reception of the work (unlike, say, hypertext)."[4]
In his book Electronic Literature, Scott Rettberg connects generative literature to avant-garde literary movements like Dada, Surrealism, Oulipo and Fluxus.[3] Bajohr argues that conceptual art is also an important reference.[4]
Paradigms of generative literature
[edit | edit source]Bajohr describes two main paradigms of generative literature: the sequential paradigm, where the text generation is "executed as a sequence of rule-steps" and employs linear algorithms, and the connectionist paradigm, which is based on neural nets.[4] The latter leads to what Bajohr calls a algorithmic empathy: "a non-anthropocentric empathy aimed not at the psychological states of the artists but at understanding the process of the work’s material production."[4]
Poetry generation
[edit | edit source]The first examples of automated generative literature are poetry: John Clark's mechanical Latin Verse Machine (1830–1843) produced lines of hexameter verse in Latin,[1][2] and Christopher Strachey's love letter generator (1952), programmed on the Manchester Mark 1 computer, generated short, satirical love letters.[3]
Examples of generative poetry using artificial neural networks include David Jhave Johnston's ReRites.
Narrative generation
[edit | edit source]Story generators have often followed specific narratological theories of how stories are constructed. An early example is Grimes' Fairy Tales, the "first to take a grammar-based approach and the first to operationalize Propp's famous model."[5] Mike Sharples and Rafael Peréz y Peréz's book Story Machines gives a detailed history of story generation.[6]
Storyland by Nanette Wylde is an example of generative narrative. Jonathan Baillehache compares Storyland to Surrealist writing. Baillehache states, "When compared to earlier uses of chance operation in literature, a piece like this one resembles some of the automatic writings produced by André Breton and Philippe Soupault in their collective work The Magnetic Fields. . . The difference between Nanette Wylde’s Storyland and Breton and Soupault’s Magnetic Fields is that the former is produced according to a computational algorithm involving randomizers and user interaction, and the latter by two free-wheeling human subjects."[7]
References
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