References

Agostinelli, Andrea, Timo I. Denk, Zalán Borsos, Jesse Engel, Mauro Verzetti, Antoine Caillon, Qingqing Huang, et al. 2023. “MusicLM: Generating Music from Text.” arXiv. arXiv. https://doi.org/10.48550/arXiv.2301.11325.

Agrawal. 2019. “What Is Deemed Computationally Creative?” IBM Journal of Research and Development 63 (January). https://doi.org/10.1147/JRD.2019.2900640.

Algarni, Ali. 2020. “Neuroscience of Creativity in Human Computer Interaction.” In Proceedings of the Future Technologies Conference (FTC) 2019, edited by Kohei Arai, Rahul Bhatia, and Supriya Kapoor, 248–62. Cham: Springer International Publishing.

al-Rifaie, Mohammad Majid. 2012. “Creativity and Autonomy in Swarm Intelligence Systems.” Cognitive Computation 4 (September): 320–31. https://doi.org/10.1007/s12559-012-9130-y.

Amabile, Teresa M. 1996. Creativity in Context. Westview Press.

———. 1997. “Motivating Creativity in Organizations: On Doing What You Love and Loving What You Do.” California Management Review 40 (1): 39–58. https://doi.org/10.2307/41165921.

Amabile, Teresa M., Steven Kramer, and Sharon Williams. 2014. The Progress Principle. Brilliance Audio.

Aristotle. 1983. Physics. Edited by J. L. Ackrill and Lindsay Judson. Translated by William Charlton. OUP Oxford.

Armstrong, Sharon Lee, Lila R. Gleitman, and Henry Gleitman. 1983. “What Some Concepts Might Not Be.” Cognition 13 (3): 263–308. https://doi.org/10.1016/0010-0277(83)90012-4.

Atwill, Janet M. 2009. Rhetoric Reclaimed. Cornell University Press.

Batchen, Geoffrey. 1997. Burning with Desire: The Conception of Photography. Cambridge, Mass: The MIT Press.

Benjamin, Jesse Josua, Arne Berger, Nick Merrill, and James Pierce. 2021. “Machine Learning Uncertainty as a Design Material: A Post-Phenomenological Inquiry.” In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. CHI ’21. New York, NY, USA: Association for Computing Machinery. https://doi.org/10.1145/3411764.3445481.

Besold, Tarek R. 2017. “Towards a Computational- and Algorithmic-Level Account of Concept Blending Using Analogies and Amalgams.” Connection Science 29 (October): 387–413. https://doi.org/10.1080/09540091.2017.1326463.

Boden, Margaret A. 1996. Dimensions of Creativity. The MIT Press.

———. 2003. The Creative Mind. Taylor & Francis Ltd.

———. 2009. “What Is Generative Art?” Digital Creativity 20 (1-2): 21–46. https://doi.org/10.1080/14626260902867915.

———. 2010. “The Turing Test and Artistic Creativity.” Kybernetes 39 (May): 409–13. https://doi.org/10.1108/03684921011036132.

Borsos, Zalán, Raphaël Marinier, Damien Vincent, Eugene Kharitonov, Olivier Pietquin, Matt Sharifi, Olivier Teboul, David Grangier, Marco Tagliasacchi, and Neil Zeghidour. 2022. “AudioLM: A Language Modeling Approach to Audio Generation.” arXiv. arXiv. https://doi.org/10.48550/arXiv.2209.03143.

Brittain, Blake. 2023. “Artists Take New Shot at Stability, Midjourney in Updated Copyright Lawsuit.” Thomson Reuters. December 1, 2023. https://www.reuters.com/legal/litigation/artists-take-new-shot-stability-midjourney-updated-copyright-lawsuit-2023-11-30/.

Brock, Andrew, Jeff Donahue, and Karen Simonyan. 2018. “Large Scale GAN Training for High Fidelity Natural Image Synthesis.” arXiv. arXiv. https://doi.org/10.48550/arXiv.1809.11096.

Brown, Tom B., Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, et al. 2020. “Language Models Are Few-Shot Learners.” arXiv. arXiv. https://doi.org/10.48550/arXiv.2005.14165.

Candy, Linda. 2006. “Practice Based Research: A Guide.” Creativity and Cognition Studios Report 1 (November).

———. 2011. “Research and Creative Practice.” In Interacting: Art, Research and the Creative Practitioner, edited by Linda Candy and Ernest Edmonds, 33–59. Libri Publishing UK.

Carey, Susan. 1991. “Knowledge Acquisition: Enrichment or Conceptual Change?” In The Epigenesis of Mind: Essays on Biology and Cognition, edited by Susan Carey and Rochel Gelman, 257–91. Lawrence Erlbaum Associates, Inc.

———. 2009. The Origin of Concepts. Oxford New York: Oxford University Press.

Carnovalini, Filippo. 2020. “Computational Creativity and Music Generation Systems: An Introduction to the State of the Art.” Frontiers in Artificial Intelligence 3 (April). https://doi.org/10.3389/frai.2020.00014.

Chen, Ke, Yusong Wu, Haohe Liu, Marianna Nezhurina, Taylor Berg-Kirkpatrick, and Shlomo Dubnov. 2023. “MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies,” August. https://doi.org/10.48550/ARXIV.2308.01546.

Chen, Liuqing. 2019. “An Artificial Intelligence Based Data-Driven Approach for Design Ideation.” Journal of Visual Communication and Image Representation 61 (May): 10–22. https://doi.org/10.1016/j.jvcir.2019.02.009.

Chomsky, Noam. 1957. Syntactic Structures. The Hague: Mouton; Co.

Colton, Simon. 2008. “Creativity Versus the Perception of Creativity in Computational Systems.” In AAAI Spring Symposium: Creative Intelligent Systems, 14–20.

———. 2012. “Computational Creativity: The Final Frontier?” In Frontiers in Artificial Intelligence and Applications, 242:21–26. IOS PressNieuwe Hemweg 6BAmsterdam1013 BG. https://doi.org/10.3233/978-1-61499-098-7-21.

Colton, Simon, Alison Pease, Christian Guckelsberger, Jon Mccormack, and Maria Teresa Llano. 2020. “On the Machine Condition and Its Creative Expression.” In ICCC2020: Proceedings of the 11th International Conference on Computational Creativity.

Conard, Nicholas J., Maria Malina, and Susanne C. Münzel. 2009. “New Flutes Document the Earliest Musical Tradition in Southwestern Germany.” Nature 460 (7256): 737–40. https://doi.org/10.1038/nature08169.

Cook, Michael. 2017. “The ANGELINA Videogame Design System - Part i.” IEEE Transactions on Computational Intelligence and AI in Games 9 (June): 192–203. https://doi.org/10.1109/TCIAIG.2016.2520256.

Csikszentmihalyi, Mihaly. 1990. Flow: The Psychology of Optimal Experience. Harper & Row.

———. 1996. Creativity: Flow and the Psychology of Discovery and Invention. HarperCollins Publishers.

Davis, Nicholas. 2016. “Empirically Studying Participatory Sense-Making in Abstract Drawing with a Co-Creative Cognitive Agent.” In IUI ’16: Proceedings of the 21st International Conference on Intelligent User Interfaces, 196–207. Association for Computing Machinery. https://doi.org/10.1145/2856767.2856795.

De Nicola, Antonio. 2019. “Creative Design of Emergency Management Scenarios Driven by Semantics: An Application to Smart Cities.” Information Systems 81 (March): 21–48. https://doi.org/10.1016/j.is.2018.10.005.

Dennett, Daniel. 1984. “Cognitive Wheels: The Frame Problem of AI.” In Minds, Machines and Evolution, edited by Christopher Hookway. Cambridge University Press.

Deterding, Sebastian. 2017. “Mixed-Initiative Creative Interfaces.” In Conference on Human Factors in Computing Systems - Proceedings, Part F127655:628–35. Association for Computing Machinery. https://doi.org/10.1145/3027063.3027072.

Dhariwal, Prafulla, and Alex Nichol. 2021. “Diffusion Models Beat Gans on Image Synthesis.” arXiv. arXiv. https://doi.org/10.48550/arXiv.2105.05233.

Dinculescu, Monica, Jesse Engel, and Adam Roberts, eds. 2019. MidiMe: Personalizing a MusicVAE Model with User Data.

Dong, Hao-Wen, Xiaoyu Liu, Jordi Pons, Gautam Bhattacharya, Santiago Pascual, Joan Serrà, Taylor Berg-Kirkpatrick, and Julian McAuley. 2023. “CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Models,” June. https://doi.org/10.48550/ARXIV.2306.09635.

Eede, Yoni Van Den. 2010. “In Between Us: On the Transparency and Opacity of Technological Mediation.” Foundations of Science 16 (2-3): 139–59. https://doi.org/10.1007/s10699-010-9190-y.

Eppe, Manfred. 2018. “A Computational Framework for Conceptual Blending.” Artificial Intelligence 256 (March): 105–29. https://doi.org/10.1016/j.artint.2017.11.005.

Esser, Patrick, Johnathan Chiu, Parmida Atighehchian, Jonathan Granskog, and Anastasis Germanidis. 2023. “Structure and Content-Guided Video Synthesis with Diffusion Models.” arXiv. arXiv. https://doi.org/10.48550/arXiv.2302.03011.

Fazi, M. Beatrice. 2018. “Can a Machine Think (Anything New)? Automation Beyond Simulation.” AI & SOCIETY 34 (4): 813–24. https://doi.org/10.1007/s00146-018-0821-0.

Feenberg, Andrew. 1991. Critical Theory of Technology. Edited by Jan Kyrre Berg Olsen Friis, Stig Andur Pedersen, and Vincent F. Hendricks. New York: Oxford University Press.

Florida, Richard L. 2014. The Rise of the Creative Class: Revisited and Expanded. Basic Books.

Flusser, Vilem. 1999. The Shape of Things. Reaktion Books.

———. 2000. Towards a Philosophy of Photography. Reaktion Books.

Fodor, Jerry A. 1975. The Language of Thought. Harvard University Press.

———. 1998. Concepts: Where Cognitive Science Went Wrong. Oxford Cognitive Science Series. Oxford University Press, USA.

———. 2008. LOT 2. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780199548774.001.0001.

Foss, Donald J. 1969. “Decision Processes During Sentence Comprehension: Effects of Lexical Item Difficulty and Position Upon Decision Times.” Journal of Verbal Learning and Verbal Behavior 8 (4): 457–62. https://doi.org/10.1016/s0022-5371(69)80089-7.

Frege, G. 1892. “Über Sinn Und Bedeutung [on Sense and Reference].” Zeitschrift Für Philosophie Und Philosophische Kritik 100: 25–50.

Friedman, Ken. 2003. “Theory Construction in Design Research: Criteria: Approaches, and Methods.” Design Studies 24 (6): 507–22. https://doi.org/10.1016/s0142-694x(03)00039-5.

Furnham, Adrian, and Joseph Marks. 2013. “Tolerance of Ambiguity: A Review of the Recent Literature.” Psychology 04 (09): 717–28. https://doi.org/10.4236/psych.2013.49102.

Gal, Rinon, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit H. Bermano, Gal Chechik, and Daniel Cohen-Or. 2022. “An Image Is Worth One Word: Personalizing Text-to-Image Generation Using Textual Inversion.” arXiv. arXiv. https://doi.org/10.48550/arXiv.2208.01618.

Galimberti, U. 1989. Invito Al Pensiero Di Martin Heidegger [Introduction to Martin Heidegger]. Invito Al Pensiero. Ugo Mursia Editore.

Gärdenfors, Peter. 2000. Conceptual Spaces: The Geometry of Thought. Cambridge, Mass: MIT Press.

Ghosal, Deepanway, Navonil Majumder, Ambuj Mehrish, and Soujanya Poria. 2023. “Text-to-Audio Generation Using Instruction-Tuned LLM and Latent Diffusion Model,” April. https://doi.org/10.48550/ARXIV.2304.13731.

Goodfellow, Ian J., Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2014. “Generative Adversarial Networks.” arXiv. arXiv. https://doi.org/10.48550/arXiv.1406.2661.

Gopnik, Alison, and Andrew N. Meltzoff. 1997. Words, Thoughts, and Theories. Words, Thoughts, and Theories. Learning, Development, and Conceptual Change. Cambridge, MA, US: The MIT Press.

Grace, Kazjon. 2015. “Data-Intensive Evaluation of Design Creativity Using Novelty, Value, and Surprise.” International Journal of Design Creativity and Innovation 3 (January): 125–47. https://doi.org/10.1080/21650349.2014.943295.

Hallo, William W. 1971. The Ancient Near East: A History. Harcourt Brace Jovanovich.

He, Kaiming, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2015. “Deep Residual Learning for Image Recognition.” arXiv. https://doi.org/10.48550/arXiv.1512.03385.

Heidegger, Martin. 1977. The Question Concerning Technology, and Other Essays. Harper & Row.

Heim, Michael. 1999. Electric Language: A Philosophical Study of Word Processing. Yale University Press.

Herman, Jeffrey L., Michael J. Stevens, Allan Bird, Mark Mendenhall, and Gary Oddou. 2010. “The Tolerance for Ambiguity Scale: Towards a More Refined Measure for International Management Research.” International Journal of Intercultural Relations 34 (1): 58–65. https://doi.org/10.1016/j.ijintrel.2009.09.004.

Hillier, Lejaren Arthur, and Leonard M. Isaacson. 1959. Experimental Music Composition with an Electronic Computer.

Hinton, Geoffrey E., Simon Osindero, and Yee-Whye Teh. 2006. “A Fast Learning Algorithm for Deep Belief Nets.” Neural Computation 18 (7): 1527–54. https://doi.org/10.1162/neco.2006.18.7.1527.

Hoorn, Johan F. 2014. Creative Confluence. John Benjamins Publishing Company.

———. 2023. “Computer-Vision Classification-Algorithms Are Inherently Creative When Error-Prone.” In Proceedings of the 18th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry. VRCAI ’22. New York, NY, USA: Association for Computing Machinery. https://doi.org/10.1145/3574131.3574444.

Hu, Edward J., Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2021. “Lora: Low-Rank Adaptation of Large Language Models.” arXiv. https://doi.org/10.48550/arXiv.2106.09685.

Huang, Cheng-Zhi Anna, Ashish Vaswani, Jakob Uszkoreit, Noam Shazeer, Ian Simon, Curtis Hawthorne, Andrew M. Dai, Matthew D. Hoffman, Monica Dinculescu, and Douglas Eck. 2018. “Music Transformer.” arXiv. https://doi.org/10.48550/arXiv.1809.04281.

Huang, Jiawei, Yi Ren, Rongjie Huang, Dongchao Yang, Zhenhui Ye, Chen Zhang, Jinglin Liu, Xiang Yin, Zejun Ma, and Zhou Zhao. 2023. “Make-an-Audio 2: Temporal-Enhanced Text-to-Audio Generation,” May. https://doi.org/10.48550/ARXIV.2305.18474.

Huang, Qingqing, Aren Jansen, Joonseok Lee, Ravi Ganti, Judith Yue Li, and Daniel P. W. Ellis. 2022. “MuLan: A Joint Embedding of Music Audio and Natural Language.” arXiv. https://doi.org/10.48550/arXiv.2208.12415.

Huang, Rongjie, Jiawei Huang, Dongchao Yang, Yi Ren, Luping Liu, Mingze Li, Zhenhui Ye, Jinglin Liu, Xiang Yin, and Zhou Zhao. 2023. “Make-an-Audio: Text-to-Audio Generation with Prompt-Enhanced Diffusion Models,” January. https://doi.org/10.48550/ARXIV.2301.12661.

Hüllermeier, Eyke, and Willem Waegeman. 2021. “Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods.” Machine Learning 110 (3): 457–506. https://doi.org/10.1007/s10994-021-05946-3.

Ihde, Don. 1990. Technology and the Lifeworld. Indiana University Press.

———. 1993. Postphenomenology: Essays in the Postmodern Context. Northwestern University Press.

Jackendoff, Ray S. 1989. “What Is a Concept, That a Person May Grasp It?” Mind & Language 4 (1-2): 68–102. https://doi.org/10.1111/j.1468-0017.1989.tb00243.x.

———. 1995. Languages of the Mind: Essays on Mental Representation. The MIT Press.

Jacoby, Nori, Eduardo A. Undurraga, Malinda J. McPherson, Joaquı́n Valdés, Tomás Ossandón, and Josh H. McDermott. 2019. “Universal and Non-Universal Features of Musical Pitch Perception Revealed by Singing.” Current Biology 29 (19): 3229–3243.e12. https://doi.org/10.1016/j.cub.2019.08.020.

Jennings, Kyle E. 2010. “Developing Creativity: Artificial Barriers in Artificial Intelligence.” Minds and Machines 20 (November): 489–501. https://doi.org/10.1007/s11023-010-9206-y.

Jordanous, Anna. 2009. “Evaluating Machine Creativity.” In C and c 2009 - Proceedings of the 2009 ACM SIGCHI Conference on Creativity and Cognition. Association for Computing Machinery, Inc. https://doi.org/10.1145/1640233.1640285.

———. 2012. “A Standardised Procedure for Evaluating Creative Systems: Computational Creativity Evaluation Based on What It Is to Be Creative.” Cognitive Computation 4 (September): 246–79. https://doi.org/10.1007/s12559-012-9156-1.

———. 2016. “Four PPPPerspectives on Computational Creativity in Theory and in Practice.” Connection Science 28 (April): 194–216. https://doi.org/10.1080/09540091.2016.1151860.

Kant, Immanuel. 1998. Critique of Pure Reason. Edited by Paul Guyer and Allen W. Wood. Cambridge University Press. https://doi.org/10.1017/cbo9780511804649.

Kantosalo, Anna. 2019. “Experience Evaluations for Human–Computer Co-Creative Processes–Planning and Conducting an Evaluation in Practice.” Connection Science 31 (January): 60–81. https://doi.org/10.1080/09540091.2018.1432566.

Karras, Tero, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila. 2019. “Analyzing and Improving the Image Quality of StyleGAN.” arXiv. https://doi.org/10.48550/arXiv.1912.04958.

Kaufman, James C. 2016. Creativity 101. Springer Publishing Company.

Kaufman, James C., and Robert J. Sternberg. 2019. Cambridge Handbook of Creativity. Cambridge University Press.

Klütsch, Christoph. 2012. “Information Aesthetics and the Stuttgart School.” In Mainframe Experimentalism, 65–89. University of California Press. https://doi.org/10.2307/j.ctv114c7b3.9.

Köbis, Nils. 2021. “Artificial Intelligence Versus Maya Angelou: Experimental Evidence That People Cannot Differentiate AI-Generated from Human-Written Poetry.” Computers in Human Behavior 114 (January). https://doi.org/10.1016/j.chb.2020.106553.

Koster, Jan. 2009. “Ceaseless, Unpredictable Creativity: Language as Technology.” Biolinguistics 3 (1): 061–92. https://doi.org/10.5964/bioling.8683.

Kowaliw, Taras. 2012. “Promoting Creative Design in Interactive Evolutionary Computation.” IEEE Transactions on Evolutionary Computation 16 (August): 523–36. https://doi.org/10.1109/TEVC.2011.2166764.

Krenn, Mario, Lorenzo Buffoni, Bruno Coutinho, Sagi Eppel, Jacob Gates Foster, Andrew Gritsevskiy, Harlin Lee, et al. 2022. “Predicting the Future of AI with AI: High-Quality Link Prediction in an Exponentially Growing Knowledge Network.” arXiv. https://doi.org/10.48550/arXiv.2210.00881.

Kripke, Saul. 1980. Naming and Necessity. Cambridge, Mass: Harvard University Press.

Krizhevsky, Alex, Ilya Sutskever, and Geoffrey E Hinton. 2012. “ImageNet Classification with Deep Convolutional Neural Networks.” In Advances in Neural Information Processing Systems, edited by F. Pereira, C. J. Burges, L. Bottou, and K. Q. Weinberger. Vol. 25. Curran Associates, Inc. https://doi.org/10.1145/3065386.

Lamb, Carolyn. 2018. “Evaluating Computational Creativity: An Interdisciplinary Tutorial.” ACM Computing Surveys 51 (February). https://doi.org/10.1145/3167476.

Latour, Bruno. 1990. “Technology Is Society Made Durable.” The Sociological Review 38 (1_suppl): 103–31. https://doi.org/10.1111/j.1467-954x.1990.tb03350.x.

———. 1993. We Have Never Been Modern. Harvard University Press.

Laurence, Stephen, and Eric Margolis. 1999. “Concepts and Cognitive Science.” In Concepts: Core Readings, edited by Eric Margolis and Stephen Laurence, 3–81. MIT Press.

Liapis, Antonios. 2019. “Orchestrating Game Generation.” IEEE Transactions on Games 11 (March): 48–68. https://doi.org/10.1109/TG.2018.2870876.

Linardatos, Pantelis, Vasilis Papastefanopoulos, and Sotiris Kotsiantis. 2020. “Explainable AI: A Review of Machine Learning Interpretability Methods.” Entropy 23 (1): 18. https://doi.org/10.3390/e23010018.

Liu, Bingchen, Yizhe Zhu, Kunpeng Song, and Ahmed Elgammal. 2021. “Towards Faster and Stabilized GAN Training for High-Fidelity Few-Shot Image Synthesis.” arXiv. https://doi.org/10.48550/arXiv.2101.04775.

Liu, Haohe, Zehua Chen, Yi Yuan, Xinhao Mei, Xubo Liu, Danilo Mandic, Wenwu Wang, and Mark D. Plumbley. 2023. “AudioLDM: Text-to-Audio Generation with Latent Diffusion Models,” January. https://doi.org/10.48550/ARXIV.2301.12503.

Machado, Penousal. 2002. “All the Truth about NEvAr.” Applied Intelligence 16 (February): 101–18. https://doi.org/10.1023/A:1013662402341.

Mao, Jiayuan, Chuang Gan, Pushmeet Kohli, Joshua B. Tenenbaum, and Jiajun Wu. 2019. “The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences from Natural Supervision.” arXiv. https://doi.org/10.48550/arXiv.1904.12584.

Medin, Douglas L. 1989. “Concepts and Conceptual Structure.” American Psychologist 44 (12): 1469–81. https://doi.org/10.1037/0003-066x.44.12.1469.

Melechovsky, Jan, Zixun Guo, Deepanway Ghosal, Navonil Majumder, Dorien Herremans, and Soujanya Poria. 2023. “Mustango: Toward Controllable Text-to-Music Generation,” November. https://doi.org/10.48550/ARXIV.2311.08355.

Menabrea, L. F., C. Babbage, A. K. C. Lovelace, and A. A. L. 1843. Sketch of the Analytical Engine Invented by Charles Babbage with Notes by the Translator. R. & J. E. Taylor.

Miller, Arthur I. 2019. “Margaret Boden’s Three Types of Creativity.” In The Artist in the Machine. The MIT Press. https://doi.org/10.7551/mitpress/11585.003.0007.

Miller, Marty, and Giovanni Lion. 2022. “Reflecting Through the Photo’s Un-Making.” In [ ] with Design: Reinventing Design Modes, 1990–2000. Springer Nature Singapore. https://doi.org/10.1007/978-981-19-4472-7_130.

Mufwene, Salikoko. 2013. “In Search of Universal Grammar: From Norse to Zoque.” In, edited by Terje Lohndal, 327–58. John Benjamins Publishing Company.

Murphy, Gregory L., and Douglas L. Medin. 1985. “The Role of Theories in Conceptual Coherence.” Psychological Review 92 (3): 289–316. https://doi.org/10.1037/0033-295x.92.3.289.

Nake, Frieder. 2012. “Information Aesthetics: An Heroic Experiment.” Journal of Mathematics and the Arts 6 (2–3): 65–75. https://doi.org/10.1080/17513472.2012.679458.

Neves, José, José Machado, Cesar Analide, António Abelha, and Luis Brito. 2007. “The Halt Condition in Genetic Programming.” In Progress in Artificial Intelligence, 4874:160–69. LNAI. Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-77002-2_14.

Newell, Allen, J. C. Shaw, and Herbert Alexander Simon. 1959. The Processes of Creative Thinking. Santa Monica, CA: RAND Corporation.

Norton, Robert W. 1975. “Measurement of Ambiguity Tolerance.” Journal of Personality Assessment 39 (6): 607–19. https://doi.org/10.1207/s15327752jpa3906_11.

Oden, Gregg C. 1977. “Integration of Fuzzy Logical Information.” Journal of Experimental Psychology: Human Perception and Performance 3 (4): 565–75. https://doi.org/10.1037/0096-1523.3.4.565.

Olteţeanu, Ana-Maria. 2015. “ComRAT-c: A Computational Compound Remote Associates Test Solver Based on Language Data and Its Comparison to Human Performance.” Pattern Recognition Letters 67 (February): 81–90. https://doi.org/10.1016/j.patrec.2015.05.015.

———. 2016. “Object Replacement and Object Composition in a Creative Cognitive System. Towards a Computational Solver of the Alternative Uses Test.” Cognitive Systems Research 39 (September): 15–32. https://doi.org/10.1016/j.cogsys.2015.12.011.

Osherson, Daniel N., and Edward E. Smith. 1981. “On the Adequacy of Prototype Theory as a Theory of Concepts.” Cognition 9 (1): 35–58. https://doi.org/10.1016/0010-0277(81)90013-5.

Pasquier, Philippe. 2016. “An Introduction to Musical Metacreation.” Computers in Entertainment 14 (2): 1–14. https://doi.org/10.1145/2930672.

Peinado, Federico. 2006. “Evaluation of Automatic Generation of Basic Stories.” New Generation Computing 24 (December): 289–302. https://doi.org/10.1007/BF03037336.

Plato. 1998. Meno. Translated by George Anastaplo and Laurence Berns. Focus Publishing Pullins & Co.

Pumarola, Albert, Antonio Agudo, Aleix M. Martinez, Alberto Sanfeliu, and Francesc Moreno-Noguer. 2019. “GANimation: One-Shot Anatomically Consistent Facial Animation.” International Journal of Computer Vision 128 (3): 698–713. https://doi.org/10.1007/s11263-019-01210-3.

Putnam, Hilary. 1970. “Is Semantics Possible?” Metaphilosophy 1 (3): 187–201. http://www.jstor.org/stable/24434824.

———. 1975. “The Meaning of .” Language, Mind, and Knowledge 7: 131–93. https://hdl.handle.net/11299/185225.

Quine, W. V. 1951. “Two Dogmas of Empiricism.” The Philosophical Review 60 (1): 20. https://doi.org/10.2307/2181906.

Radford, Alec, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, et al. 2021. “Learning Transferable Visual Models from Natural Language Supervision.” arXiv. https://doi.org/10.48550/arXiv.2103.00020.

Radford, Alec, Jong Wook Kim, Tao Xu, Greg Brockman, Christine McLeavey, and Ilya Sutskever. 2022. “Robust Speech Recognition via Large-Scale Weak Supervision.” arXiv. https://doi.org/10.48550/arXiv.2212.04356.

Radford, Alec, Jeff Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019. “Language Models Are Unsupervised Multitask Learners.” https://d4mucfpksywv.cloudfront.net/better-language-models/language-models.pdf.

Ragot, Martin. 2020. “Ai-Generated Vs. Human Artworks. A Perception Bias Towards Artificial Intelligence?” In Conference on Human Factors in Computing Systems - Proceedings. Association for Computing Machinery. https://doi.org/10.1145/3334480.3382892.

Rey, Georges. 1993. “The Unavailability of What We Mean: A Reply to Quine, Fodor and Lepore.” In Grazer Philosophische Studien, 61–101. Amsterdam: Rodopi.

Rhodes, Mel. 1961. “An Analysis of Creativity.” The Phi Delta Kappan 42 (7): 305–10. http://www.jstor.org/stable/20342603.

Ritchie, Graeme. 2007. “Some Empirical Criteria for Attributing Creativity to a Computer Program.” Minds and Machines 17 (March): 67–99. https://doi.org/10.1007/s11023-007-9066-2.

Roberts, Adam, Jesse Engel, Colin Raffel, Curtis Hawthorne, and Douglas Eck. 2018. “A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music.” ICML 2018, March. https://doi.org/10.48550/arXiv.1803.05428.

Rodrı́guez-Vidal, Joaquı́n, Francesco d’Errico, Francisco Giles Pacheco, Ruth Blasco, Jordi Rosell, Richard P. Jennings, Alain Queffelec, et al. 2014. “A Rock Engraving Made by Neanderthals in Gibraltar.” Proceedings of the National Academy of Sciences 111 (37): 13301–6. https://doi.org/10.1073/pnas.1411529111.

Rombach, Robin, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer. 2021. “High-Resolution Image Synthesis with Latent Diffusion Models.” arXiv. https://doi.org/10.48550/arXiv.2112.10752.

Rosch, Eleanor. 1978. “Principles of Categorization.” In Cognition and Categorization, edited by Eleanor Rosch and B. B. Lloyd, 27–48. Hillsdale, NJ: Erlbaum.

Rosch, Eleanor, and Carolyn B Mervis. 1975. “Family Resemblances: Studies in the Internal Structure of Categories.” Cognitive Psychology 7 (4): 573–605. https://doi.org/10.1016/0010-0285(75)90024-9.

Rosenberger, Robert Joseph, and Peter-Paul Verbeek. 2015. Postphenomenological Investigations: Essays on Human—Technology Relations. Lexington Books.

Rosenblatt, F. 1958. “The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain.” Psychological Review 65 (6): 386–408. https://doi.org/10.1037/h0042519.

Ruiz, Nataniel, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, and Kfir Aberman. 2022. “DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation.” arXiv. https://doi.org/10.48550/arXiv.2208.12242.

Rumelhart, David E., James L. McClelland, and the PDPResearchGroup. 1987. Parallel Distributed Processing: Foundations. 1 vols. The MIT Press.

Runco, Mark A. 2014. Creativity: Theories and Themes: Research, Development, and Practice. Elsevier Science & Technology Books.

Saunders, Rob. 2012. “Towards Autonomous Creative Systems: A Computational Approach.” Cognitive Computation 4 (September): 216–25. https://doi.org/10.1007/s12559-012-9131-x.

Sawyer, R. Keith. 2017. Group Genius the Creative Power of Collaboration: The Creative Power of Collaboration. Basic Books.

Schneider, Flavio, Ojasv Kamal, Zhijing Jin, and Bernhard Schölkopf. 2023. “Moûsai: Text-to-Music Generation with Long-Context Latent Diffusion,” January. https://doi.org/10.48550/ARXIV.2301.11757.

Schön, Donald A. 1983. The Reflective Practitioner. Basic Books, New York.

Schuhmann, Christoph, Romain Beaumont, Richard Vencu, Cade Gordon, Ross Wightman, Mehdi Cherti, Theo Coombes, et al. 2022. “LAION-5B: An Open Large-Scale Dataset for Training Next Generation Image-Text Models.” arXiv. arXiv. https://doi.org/10.48550/arXiv.2210.08402.

Searle, John R. 1980. “Minds, Brains, and Programs.” Behavioral and Brain Sciences 3 (3): 417–24. https://doi.org/10.1017/S0140525X00005756.

Silver, David, Aja Huang, Chris J. Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, et al. 2016. “Mastering the Game of Go with Deep Neural Networks and Tree Search.” Nature 529 (7587): 484–89. https://doi.org/10.1038/nature16961.

Silver, David, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, et al. 2017. “Mastering the Game of Go Without Human Knowledge.” Nature 550 (7676): 354–59. https://doi.org/10.1038/nature24270.

Simonton, Dean K. 1985. “Intelligence and Personal Influence in Groups: Four Nonlinear Models.” Psychological Review 92 (4): 532–47. https://doi.org/10.1037/0033-295x.92.4.532.

Simonton, Dean Keith. 1994. Greatness: Who Makes History and Why. Guilford.

———. 1999. Origins of Genius: Darwinian Perspectives on Creativity. Oxford University Press.

Smith, E. E., and D. L. Medin. 1981. Categories and Concepts. Cambridge, MA.: Harvard university press.

Smith, John R. 2017. “Harnessing a.i. For Augmenting Creativity: Application to Movie Trailer Creation.” In Proceedings of the 2017 ACM Multimedia Conference, 1799–1808. Association for Computing Machinery. https://doi.org/10.1145/3123266.3127906.

Smith, Merritt Roe, and Leo Marx. 1994. Does Technology Drive History? The Dilemma of Technological Determinism. MIT Press.

Sternberg, Robert J. 1988. The Nature of Creativity: Contemporary Psychological Perspectives. Cambridge University Press.

———. 2003. Wisdom, Intelligence, and Creativity Synthesized. Cambridge University Press. https://doi.org/10.1017/cbo9780511509612.

Sturm, Bob L. 2019. “Machine Learning Research That Matters for Music Creation: A Case Study.” Journal of New Music Research 48 (January): 36–55. https://doi.org/10.1080/09298215.2018.1515233.

Szegedy, Christian, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich. 2014. “Going Deeper with Convolutions.” arXiv. arXiv. https://doi.org/10.48550/arXiv.1409.4842.

Turing, A. M. 1937. “On Computable Numbers, with an Application to the Entscheidungsproblem.” Proceedings of the London Mathematical Society s2-42 (1): 230–65. https://doi.org/10.1112/plms/s2-42.1.230.

———. 1950. “Computing Machinery and Intelligence.” Mind LIX (236): 433–60. https://doi.org/10.1093/mind/lix.236.433.

Tversky, Amos. 1977. “Features of Similarity.” Psychological Review 84 (4): 327–52. https://doi.org/10.1037/0033-295x.84.4.327.

Vaswani, Ashish, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017. “Attention Is All You Need.” arXiv. https://doi.org/10.48550/arXiv.1706.03762.

Verbeek, Peter-Paul. 2005. What Things Do: Philosophical Reflections on Technology, Agency, and Design. Pennsylvania State University Press.

———. 2011. Moralizing Technology: Understanding and Designing the Morality of Things. The University of Chicago Press.

Waibel, A., T. Hanazawa, G. Hinton, K. Shikano, and K. J. Lang. 1989. “Phoneme Recognition Using Time-Delay Neural Networks.” IEEE Transactions on Acoustics, Speech, and Signal Processing 37 (3): 328–39. https://doi.org/10.1109/29.21701.

Wallas, Graham. 1926. The Art of Thought. Solis Press.

Wiggins, Geraint A. 2006a. “A Preliminary Framework for Description, Analysis and Comparison of Creative Systems.” Knowledge-Based Systems 19 (7): 449–58. https://doi.org/10.1016/j.knosys.2006.04.009.

———. 2006b. “Searching for Computational Creativity.” New Generation Computing 24 (December): 209–22. https://doi.org/10.1007/BF03037332.

Winner, Langdon. 1980. “Do Artifacts Have Politics?” Daedalus 109 (1): 121–36. http://www.jstor.org/stable/20024652.

Wittgenstein, Ludwig. 1953. Philosophical Investigations. Wiley-Blackwell.

Xu, Yongjun, Xin Liu, Xin Cao, Changping Huang, Enke Liu, Sen Qian, Xingchen Liu, et al. 2021. “Artificial Intelligence: A Powerful Paradigm for Scientific Research.” The Innovation 2 (4): 100179. https://doi.org/10.1016/j.xinn.2021.100179.

Yang, Li-Chia. 2020. “On the Evaluation of Generative Models in Music.” Neural Computing and Applications 32 (May): 4773–84. https://doi.org/10.1007/s00521-018-3849-7.

Zenasni, Franck, Maud Besançon, and Todd Lubart. 2008. “Creativity and Tolerance of Ambiguity: An Empirical Study.” The Journal of Creative Behavior 42 (1): 61–73. https://doi.org/10.1002/j.2162-6057.2008.tb01080.x.

Zhang, Lvmin, and Maneesh Agrawala. 2023. “Adding Conditional Control to Text-to-Image Diffusion Models.” arXiv. https://doi.org/10.48550/arXiv.2302.05543.