2013/11/05 by Lav R. Varshney, Varshney, Lav R., Florian Pinel +10 · 1 voice · 33 citations
Computer Science · Physics and Astronomy · Psychology · #Artificial Intelligence in Games #Big data #Computational creativity #Computer science #Creativity #Creativity in Education and Neuroscience #Data Visualization and Analytics #Data mining #Data science #Psychology #cs.AI #cs.CY #cs.HC #physics.soc-ph
paper · pdf · doi:10.48550/arxiv.1311.1213
published in arXiv (Cornell University) (Cornell University)
arxiv created 2013/11/05 · openalex publication_date 2013/11/05 · arxiv updated 2013/11/07 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Computational creativity is an emerging branch of artificial intelligence that places computers in the center of the creative process. Broadly, creativity involves a generative step to produce many ideas and a selective step to determine the ones that are the best. Many previous attempts at computational creativity, however, have not been able to achieve a valid selective step. This work shows how bringing data sources from the creative domain and from hedonic psychophysics together with big data analytics techniques can overcome this shortcoming to yield a system that can produce novel and high-quality creative artifacts. Our data-driven approach is demonstrated through a computational creativity system for culinary recipes and menus we developed and deployed, which can operate either autonomously or semi-autonomously with human interaction. We also comment on the volume, velocity, variety, and veracity of data in computational creativity.