Sign inGet started
Paper · arXiv

Towards Defining, Measuring, and Leveraging Creativity in AI Applications

Despite extensive research, computational creativity still lacks a conceptually grounded, practically relevant, and empirically applicable formal definition across contexts such as art, scientific research, and games. Existing approaches to creativity often focus on proposing informal conceptual definitions without providing formal computational concepts. Alternatively, they propose formal definitions without carefully examining their underlying assumptions or providing validation of these definitions by testing their performance in specific application settings. To address these problems, this paper proposes several formal postulates of creativity grounded in prior psychological work on ...

AuthorsJingyi Yang, Alexander Tuzhilin
Primary categorycs.AI
Published9 October 2026
Last updated at source9 October 2026
cs.AI
Embed this entry
<iframe src="https://silytics.si/embed/item/82f05f75-9a20-4933-98e2-a081a8ce2bf1" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 2 days

0 now. Counts as reported by the source, snapshotted daily by Silytics.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.