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A Big Data Approach to Computational Creativity

2013/11/05 by Lav R. Varshney, Varshney, Lav R., Florian Pinel +10 · 1 voice · 1 citation
Psychology · Computer Science · #Creativity in Education and Neuroscience #Data Visualization and Analytics #Artificial Intelligence in Games

paper · pdf · doi:10.48550/arxiv.1311.1213

Abstract

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.

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