|
Bellaiche, L., Shahi, R., Turpin, M. H., Ragnhildstveit, A., Sprockett, S., Barr, N., & Seli, P. (2023). Humans versus AI: whether and why we prefer human-created compared to AI- created artwork. Cognitive Research: Principles and Implications, 8(1), 1-22. Cui, J. (2017, July). Research on digital painting art and its diversified performance. In 2017 3rd International Conference on Economics, Social Science, Arts, Education and Management Engineering (ESSAEME 2017). Atlantis Press. CELSYS. (2023, March 20). 40% of digital creators start Digital Art at the age of 15 or younger: survey of 6,000 European creators. Retrieved from https://www.celsys.com/en/topic/20230120 Davis, W. (1993). Beginning the History of Art. The Journal of Aesthetics and Art Criticism, 51(3), 327–350. https://doi.org/10.2307/431507 Elgammal, A., Liu, B., Elhoseiny, M., & Mazzone, M. (2017). Can: Creative adversarial networks, generating "art" by learning about styles and deviating from style norms. arXiv preprint arXiv:1706.07068. Ashenfelter, O., & Graddy, K. (2003). Auctions and the price of art. Journal of Economic Literature, 41(3), 763-786. Baumol, W. J. (1986). Unnatural value: or art investment as floating crap game. The American Economic Review, 76(2), 10-14. Boden, M. A. (1998). Creativity and artificial intelligence. Artificial intelligence, 103(1-2), 347- 356. Cetinic, E., & She, J. (2022). Understanding and creating art with AI: Review and outlook. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 18(2), 1-22. Chamberlain, R., Mullin, C., Scheerlinck, B., & Wagemans, J. (2018). Putting the art in artificial: Aesthetic responses to computer-generated art. Psychology of Aesthetics, Creativity, and the Arts, 12, 177–192. https://doi.org/10.1037/aca0000136 Ekelund Jr, R. B., Ressler, R. W., & Watson, J. K. (2000). The "Death-Effect" in Art Prices: A Demand-Side Exploration. Journal of Cultural Economics, 24(4), 283-300. Epstein, Z., Levine, S., Rand, D. G., & Rahwan, I. (2020). Who gets credit for AI-generated art?. iScience, 23(9), 101515. 78
Erdem, T., Swait, J., & Louviere, J. (2002). The impact of brand credibility on consumer price sensitivity. International Journal of Research in Marketing, 19(1), 1-19. Frey, B. S., & Pommerehne, W. W. (1989). Art investment: an empirical inquiry. Southern Economic Journal, 396-409. Ford, M. (2015). Rise of the Robots: Technology and the Threat of a Jobless Future. Basic Books. Fortuna, P., & Modliński, A. (2021). A(I)rtist or counterfeiter? Artificial intelligence as (D)evaluating factor on the art market. The Journal of Arts Management, Law, and Society, 51(3), 188-201. Galbraith, J. W., & Hodgson, D. J. (2018). Econometric fine art valuation by combining hedonic and repeat-sales information. Econometrics, 6(3), 32. GilPress. (2024). AI Art Generator Statistics. What’s the Big Data. Retrieved from https://whatsthebigdata.com/ai-art-generator-statistics/ Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., & Bengio, Y. (2020). Generative adversarial networks. Communications of the ACM, 63(11), 139- 144. Gu, L., & Li, Y. (2022). Who made the paintings: Artists or artificial intelligence? The effects of identity on liking and purchase intention. Frontiers in Psychology, 4605. Hernando, E., & Campo, S. (2017). Does the artist's name influence the perceived value of an art work?. International Journal of Arts Management, 46-58. Hertzmann, A. (2018, May). Can computers create art?. In Arts (Vol. 7, No. 2, p. 18). MDPI. Li, Y., Ma, M. X., & Renneboog, L. (2022). Pricing art and the art of pricing: On returns and risk in art auction markets. European Financial Management, 28(5), 1139-1198. Lobo. (2020, July 13). The history of painting. The evolution of art. Lobo Pop Art. Retrieved from https://lobopopart.com.br/en/the-history-of-painting/ Liu, X. (2020, October). Artistic reflection on artificial intelligence digital painting. In Journal of Physics: Conference Series (Vol. 1648, No. 3, p. 032125). IOP Publishing. Lu, L. (2017). Analysis and research on the creative characteristics of digital painting and traditional painting. Beauty Times (middle), 7, 23-24. Mandel, B. R. (2009). Art as an investment and conspicuous consumption good. American Economic Review, 99(4), 1653-1663. 79
Martindale, C. (1986). Aesthetic evolution. Poetics, 15(4-6), 439-473. Marinkovic, B. (2021). Tacit knowledge in painting: From studio to classroom. International Journal of Art & Design Education, 40(2), 389-403. Mazzone, M., & Elgammal, A. (2019, February). Art, creativity, and the potential of artificial intelligence. In Arts (Vol. 8, No. 1, p. 26). MDPI. McCormack, J., Gifford, T., & Hutchings, P. (2019, April). Autonomy, authenticity, authorship and intention in computer-generated art. In International Conference on Computational Intelligence in Music, Sound, Art and Design (part of EvoStar) (pp. 35-50). Cham: Springer International Publishing. O'Reilly, D. (2005). Cultural brands/branding cultures. Journal of Marketing Management, 21(5- 6), 573-588. O’Neil, K. M. (2008). Bringing art to market: The diversity of pricing styles in a local art market. Poetics, 36(1), 94-113. Polanyi, M. (1958). Personal Knowledge: Towards a Post-Critical Philosophy. London: Routledge, 2003. Print. Sherman, A., & Morrissey, C. (2017). What is art good for? The socio-epistemic value of art. Frontiers in Human Neuroscience, 11, 411. Stetco, I. (n.d.). Value of art: Analysis of the factors influencing the prices of paintings. Sun, Y., Yang, C. H., Lyu, Y., & Lin, R. (2022). From Pigments to Pixels: A Comparison of Human and AI Painting. Applied Sciences, 12(8), 3724. Ursprung, H. W., & Wiermann, C. (2011). Reputation, price, and death: An empirical analysis of art price formation. Economic Inquiry, 49(3), 697-715. Varela, F. J., Thompson, E., & Rosch, E. (2017). The Embodied Mind, Revised Edition: Cognitive Science and Human Experience. MIT Press. West, D. M. (2018). The Future of Work: Robots, AI, and Automation. Brookings Institution Press. Yin, S. (2022). Analysis on the Inner Relationship between Computer Digital Painting and Traditional Painting. Mobile Information Systems, 2022. Zhu, Y., Gao, T., Fan, L., Huang, S., Edmonds, M., Liu, H., & Zhu, S. C. (2020). Dark, beyond deep: A paradigm shift to cognitive AI with humanlike common sense. Engineering, 6(3),
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