Computational models of creativity: a review of single-process and multi-process recent approaches to demystify creative cognition

Abstract

Creativity is a compelling but heterogeneous phenomenon. As opposed to big-C creativity, which is regarded as limited to the rare brilliant mind, little-c creativity is indispensable in adaptive everyday behavior, serving to adjust to changing circumstances and challenges. Computational approaches help demystify human creativity by offering insights into the underlying mechanisms and their characteristics. Recently proposed computational models to creative cognition often focus on either divergent or convergent problem-solving, but some start to integrate these processes into broader cognitive frameworks. We briefly review the state-of-the-art in the field and point out theoretical overlap. We extract basic principles that most existing models agree on and desiderata on the way towards a comprehensive model.