Poëzie en Kunstmatige Intelligentie: Toetssteen, Proeftuin, Marketingtruc

References

1. Agnew, E., Qiu, M., Zhu, L., Wiseman, S., & C.Rudin, ‘The Mechanical Bard: An Interpretable Machine Learning Approach to Shakespearean Sonnet Generation’, in: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), juli2023, 1627-1638.
   [Google Scholar]
2. Anema, F., ‘Luchtkastelen in drie akkoorden – poëzie als punk van de literatuur’, in: Neerlandistiek, 6september2024. https://neerlandistiek.nl/2024/09/luchtkastelen-in-drie-akkoorden-poezie-als-punk-van-de-literatuur/
   [Google Scholar]
3. Association for Computational Creativity, Computational creativity. 2020. https://computationalcreativity.net/home/about/computational-creativity/
   [Google Scholar]
4. Bender, E.M., T.Gebru, A.McMillan-Major & S.Shmitchell, ‘On the Dangers of Stochastic Parrots: Can Language Models be Too Big?’, in: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, maart2021, 610-623.
   [Google Scholar]
5. Berg, K., H.Koelling, & J.Ryan, ‘English Versification for the Billion: Translating the Early Latin Poetry Generator Artificial Versifying (1677)’, in: Proceedings of the Electronic Literature Organization Conference (ELO 2021). 2021. https://elmcip.net/node/16386.
   [Google Scholar]
6. Black, J.B. & R.Wilensky, ‘An Evaluation of Story Grammars’, in: Cognitive Science3, 3, 1979, 213-229. https://www.sciencedirect.com/science/article/pii/S0364021379800075.
   [Google Scholar]
7. Bluijs, S., J.Dera & D.Peeters, ‘Digitale literatuur in de Lage Landen: Een nieuwe historische en institutionele benadering’, in: Spiegel der letteren, 64, 1, 2022, 51-78.
   [Google Scholar]
8. Bolhuis, J.J., K.Okanoya & C.Scharff, ‘Twitter Evolution: Converging Mechanisms in Birdsong and Human Speech’, in: Nature Reviews Neuroscience, 11, 2010, 747-759.
   [Google Scholar]
9. Bonini, C. P., Simulation of Information and Decision Systems in the Firm. Chicago, Markham, 1967.
   [Google Scholar]
10. Borowiec, S., & T.Lien, ‘AlphaGo Beats Human Go Champ in Milestone for Artificial Intelligence’, in: Los Angeles Times, 12maart2016. https://www.latimes.com/world/asia/la-fg-korea-alphago-20160312-story.html
    [Google Scholar]
11. Bringsjord, S., P.Bello, & D.Ferrucci, ‘Creativity, the Turing Test, and the (Better) Lovelace Test’, in: Minds and Machines, 11, 2001, 3-27. https://doi.org/10.1023/A:1011206622741.
    [Google Scholar]
12. Calvino, I., The Uses of Literature. San Diego, New York, London, Harcourt Brace & Company, 1986.
    [Google Scholar]
13. Chen, Y., H.Gröner, S.Zarrieß, S., & S.Eger, ‘Evaluating Diversity in Automatic Poetry Generation’, in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, november2024, 19671-19692.
    [Google Scholar]
14. Clarke, A.C., Profiles of the Future: An Inquiry into the Limits of the Possible. New York, Harper & Row, 1973 [1962].
    [Google Scholar]
15. Colby, B.N., ‘A Partial Grammar of Eskimo [sic] Folktales’ in: American Anthropologists, 75, 3, 1973, 645-662.
    [Google Scholar]
16. van Dalen-Oskam, K. H., Het raadsel literatuur. Is literaire kwaliteit meetbaar?Amsterdam, Amsterdam University Press, 2021.
    [Google Scholar]
17. Elam, M., ‘Poetry Will Not Optimize; or, What Is Literature to AI?’, in: American literature, 95, 2, 2023281-303.
    [Google Scholar]
18. Franceschelli, G., & M.Musolesi, ‘Creativity and Machine Learning: A Survey’, in: ACM Computing Surveys, 56, 11, 2024, 1-41.
    [Google Scholar]
19. Gatt, A., & E.J.Krahmer, ‘Survey of the State of the Art in Natural Language Generation: Core Tasks, Applications and Evaluation’, in: Journal of Artificial Intelligence Research, 61, 1, 2018, 65-170. https://doi.org/10.1613/jair.5477
    [Google Scholar]
20. Go, E., & S.S.Sundar, ‘Humanizing Chatbots: The Effects of Visual, Identity and Conversational Cues on Humanness Perceptions’, in: Computers in Human Behavior, 97, 2019, 304-316. https://doi.org/10.1016/j.chb.2019.01.020
    [Google Scholar]
21. Gonçalo Oliveira, H., ‘A Survey on Intelligent Poetry Generation: Languages, Features, Techniques, Reutilisation and Evaluation’, in: Proceedings of the 10th International Conference on Natural Language Generation, september2017, 11-20.
    [Google Scholar]
22. Gonçalo Oliveira, H., R.Hervás, A.Díaz & P.Gervás, ‘Multilingual Extension and Evaluation of a Poetry Generator’, in: Natural Language Engineering, 23, 6, 2017, 929-967. doi:10.1017/S1351324917000171
    [Google Scholar]
23. Hitsuwari, J., Y.Ueda, W.Yun & M.Nomura, ‘Does Human–AI Collaboration Lead to More Creative Art? Aesthetic Evaluation of Human-Made and AI-Generated Haiku Poetry’, in: Computers in Human Behavior, 139, 2023, 107502.
    [Google Scholar]
24. Hongisto, T., ‘A Brief History of Computer-Generated Literature. In Search of the Author’, in: W.Slocombe & G.Lively (red.), The Routledge Handbook of AI and Literature. New York, Routledge, 36-48.
    [Google Scholar]
25. Hu, Z., C.Liu, Y.Feng, A.T.Luu & B.Hooi, ‘PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation’, in: Proceedings of the AAAI Conference on Artificial Intelligence, 38, 16, 2024, 18279-18288. https://doi.org/10.1609/aaai.v38i16.29787.
    [Google Scholar]
26. Jakobson, R., ‘What is Poetry?’, in: Volume III: Poetry of Grammar and Grammar of PoetryBerlijn & Boston, De Gruyter Mouton, 1981, 740-750. https://doi.org/10.1515/9783110802122.740.
    [Google Scholar]
27. Karsdorp, F., E.Manjavacas & M.Kestemont, ‘Keepin’ it Real: Linguistic Models of Authenticity Judgments for Artificially Generated Rap Lyrics’, in: PloS one, 14, 102019, e0224152.
    [Google Scholar]
28. Katz, B., J.Morgenthau & S.Rich (red.), I Am Code: An Artificial Intelligence Speaks. Poems by Code-Davinci-002. New York, Back Bay, 2023.
    [Google Scholar]
29. Köbis, N. & L.D.Mossink, ‘Artificial Intelligence Versus Maya Angelou: Experimental Evidence That People Cannot Differentiate AI-Generated from Human-Written Poetry’, in: Computers in Human Behavior, 114, 2021, 106553.
    [Google Scholar]
30. Lakoff, G.P., ‘Structural Complexity in Fairy Tales’, in: Study Man1, 1972, 128-150.
    [Google Scholar]
31. Leavens, D.A., ‘Manual Deixis in Apes and Humans’, in: Interaction Studies, 5, 3, 2004, 387-408.
    [Google Scholar]
32. Van der Lee, C., A.Gatt, E.van Miltenburg & E.Krahmer, ‘Human Evaluation of Automatically Generated Text: Current Trends and Best Practice Guidelines’, in: Computer Speech & Language, 67, 2021, 101151. doi:10.1016/j.csl.2020.101151.
    [Google Scholar]
33. Van der Lee, C., E.Krahmer & S.Wubben, ‘PASS: A Dutch Data-to-Text System for Soccer, Targeted Towards Specific Audiences’ in: Proceedings of the 10th International Conference on Natural Language Generation, september2017, 95-104.
    [Google Scholar]
34. Levelt, W.J., Speaking: From Intention to Articulation. Cambridge, MIT Press, 1989.
    [Google Scholar]
35. McCorduck, P., Machines Who Think (2nd ed.). Natick, MA, A K Peters, 2004.
    [Google Scholar]
36. van Miltenburg, E., ‘Wat als Greta Monach Amerikaans was geweest?’, in: Neerlandistiek, 19februari, 2024. https://neerlandistiek.nl/2024/02/wat-als-greta-monach-amerikaans-was-geweest/.
    [Google Scholar]
37. van Miltenburg, E., ‘Willekeurige gedichten’, in: Neerlandistiek, 3januari, 2024. https://neerlandistiek.nl/2024/01/willekeurige-gedichten/.
    [Google Scholar]
38. Mitchell, M., ‘Why AI is Harder than We Think’, in: arXiv preprint arXiv:2104.12871. 2021.
    [Google Scholar]
39. Moor, J., ‘The Dartmouth College Artificial Intelligence Conference: The Next Fifty Years’, in: Ai Magazine, 27, 4, 2006, 87-87.
    [Google Scholar]
40. OpenAI, Introducing Chatgpt. 30november2022. https://openai.com/index/chatgpt.
    [Google Scholar]
41. Perec, G., De Machine. Vertaald door J.H.Mysjkin. Bleiswijk, Vleugels, 2019.
    [Google Scholar]
42. Porter, B. & E.Machery, ‘AI-Generated Poetry is Indistinguishable from Human-Written Poetry and is Rated More Favorably’, in: Scientific Reports, 14, 1, 2024, 26133.
    [Google Scholar]
43. Propp, V., De morfologie van het toversprookje. Vormleer van een genre. Utrecht, Het Spectrum, 1997 [1928].
    [Google Scholar]
44. Reiter, E., ‘Introduction to NLG’, in: Natural Language Generation. Springer, Cham, 2025. https://doi.org/10.1007/978-3-031-68582-8_1.
    [Google Scholar]
45. Rettberg, S., Electronic literature. Cambridge, Polity, 2019.
    [Google Scholar]
46. Rogers, A., ‘Closed AI Models Make Bad Baselines’, in: Hacking Semantics, 3april2023. https://hackingsemantics.xyz/2023/closed-baselines/.
    [Google Scholar]
47. Van Rooij, I., O.Guest, F.Adolfi, R.de Haan, A.Kolokolova & P.Rich, ‘Reclaiming AI as a Theoretical Tool for Cognitive Science’, in: Computational Brain & Behavior, 7, 4, 2024, 616-636. https://doi.org/10.1007/s42113-024-00217-5.
    [Google Scholar]
48. Schradle, N., ‘In Algorithms We Trust: Magical Thinking, Superintelligent AI and Quantum Computing’, in: Zygon, 55, 3, 2020, 733-747. doi:10.1111/zygo.12637.
    [Google Scholar]
49. Sedivy, J., Linguaphile. A Life of Language Love. Farrar, Straus & Giroux Inc., 2024.
    [Google Scholar]
50. Seyfarth, R.M., D.L.Cheney, & P.Marler, ‘Vervet Monkey Alarm Calls: Semantic Communication in a Free-Ranging Primate’, in: Animal Behaviour, 284, 1980, 1070-1094.
    [Google Scholar]
51. Silver, D., A.Huang, C.J.Maddison, A.Guez, L.Sifre, G.Van Den Driessche & D.Hassabis, ‘Mastering the Game of Go with Deep Neural Networks and Tree Search’ in: Nature, 529, 7587, 2016, 484-489.
    [Google Scholar]
52. Sripada, S.G., E.Reiter, I.Davy, & K.Nilssen, ‘Lessons from Deploying NLG Technology for Marine Weather Forecast Text Generation’, in: WEATHER, 57, 2004, 1-5.
    [Google Scholar]
53. Thi Nguyen, C., ‘The Limits of Data’, in: Issues in Science & Technology40, 2, 2024, 94-101. https://doi.org/10.58875/LUXD6515.
    [Google Scholar]
54. Turing, A.M., ‘Computing Machinery and Intelligence’, in: Mind, 59, 1950, 433-460.
    [Google Scholar]
55. Turing, A. M., ‘Computing Machinery and Intelligence’, in: A.R.Anderson (red.), Minds and Machines. Hoboken, Prentice-Hall, 1964, 4-30.
    [Google Scholar]
56. Vaessens, T., Ongerijmd succes. Poëzie in een onpoëtische tijd. Nijmegen, Vantilt, 2006.
    [Google Scholar]
57. Valentine, T., S.Darling & M.Donnelly, ‘Why are Average Faces Attractive? The Effect of View and Averageness on the Attractiveness of Female Faces’, in: Psychonomic Bulletin & Review, 11, 2004, 482-487.
    [Google Scholar]
58. Vardi, M.Y., ‘Artificial Intelligence: Past and Future’, in: Communications of the ACM, 551, 2012, 5-5.
    [Google Scholar]
59. Veale, T., Exploding the Creativity Myth: The Computational Foundations of Linguistic Creativity. Londen, Bloomsbury, 2012.
    [Google Scholar]
60. Walsh, M., A.Preus & E.Gronski, ‘Does ChatGPT Have a Poetic Style?’, in: Proceedings of the Computational Humanities Research Conference 2024. https://ceur-ws.org/Vol-3834/paper122.pdf.
    [Google Scholar]
61. A.Waytz, H.Joy & E.Nicholas, ‘The Mind in the Machine: Anthropomorphism Increases Trust in an Autonomous Vehicle’, in: Journal of Experimental Psychology52, 2014, 113-117.
    [Google Scholar]