{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,25]],"date-time":"2026-02-25T20:46:17Z","timestamp":1772052377531,"version":"3.50.1"},"reference-count":78,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2025,4,2]],"date-time":"2025-04-02T00:00:00Z","timestamp":1743552000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Ministry of Education of the Republic of Korea and Brain Korea","award":["BK21-4120240915063"],"award-info":[{"award-number":["BK21-4120240915063"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computers"],"abstract":"<jats:p>This research investigates the aesthetic evaluation of AI-generated neoplasticist artworks, exploring how well artificial intelligence systems, specifically Midjourney, replicate the core principles of neoplasticism, such as geometric forms, balance, and color harmony. The background of this study stems from ongoing debates about the legitimacy of AI-generated art and how these systems engage with established artistic movements. The purpose of the research is to assess whether AI can produce artworks that meet aesthetic standards comparable to human-created works. The research utilized Monroe C. Beardsley\u2019s aesthetic emotion criteria and No\u00ebl Carroll\u2019s aesthetic experience criteria as a framework for evaluating the artworks. A logistic regression analysis was conducted to identify key compositional elements in AI-generated neoplasticist works. The findings revealed that AI systems excelled in areas such as unity, color diversity, and overall artistic appeal but showed limitations in handling monochromatic elements. The implications of this research suggest that while AI can produce high-quality art, further refinement is needed for more subtle aspects of design. This study contributes to understanding the potential of AI as a tool in the creative process, offering insights for both artists and AI developers.<\/jats:p>","DOI":"10.3390\/computers14040130","type":"journal-article","created":{"date-parts":[[2025,4,2]],"date-time":"2025-04-02T04:06:05Z","timestamp":1743566765000},"page":"130","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Artificial Intelligence in Neoplasticism: Aesthetic Evaluation and Creative Potential"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-7417-7549","authenticated-orcid":false,"given":"Su Jin","family":"Mun","sequence":"first","affiliation":[{"name":"Brain Korea 21 Research Group, Department of Visual Contents, Dongseo University, Busan 47011, Republic of Korea"},{"name":"Department of Software Convergence, Dongseo University, Busan 47011, Republic of Korea"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-8135-0447","authenticated-orcid":false,"given":"Won Ho","family":"Choi","sequence":"additional","affiliation":[{"name":"Brain Korea 21 Research Group, Department of Visual Contents, Dongseo University, Busan 47011, Republic of Korea"},{"name":"Beijing Film Academy, Weifang University of Science and Technology, Weifang 262799, China"}]}],"member":"1968","published-online":{"date-parts":[[2025,4,2]]},"reference":[{"key":"ref_1","unstructured":"Cao, Y., Li, S., Liu, Y., Yan, Z., Dai, Y., Yu, P.S., and Sun, L. 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