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Combinatorial Creativity Model

Simonton's framework treating creativity as the production of novel combinations of existing mental elements — with the value of each combination a function of both the novelty (distance between combined elements) and the usefulness (problem-solving or aesthetic fit).
The combinatorial model absorbs Arthur Koestler's 1964 concept of bisociation into a quantitative framework. Creativity is, in Simonton's analysis, the production of novel combinations of existing mental elements — ideas, observations, techniques, materials. Creative value depends on two dimensions: how far apart the combined elements were in prior conceptual space (novelty), and whether the combination solves a problem, produces beauty, or reveals truth (usefulness). Combinations of close elements are easy to generate but rarely novel; combinations of distant elements are difficult to generate but far more likely to be genuinely new.
Combinatorial Creativity Model
Combinatorial Creativity Model

In The You On AI Field Guide

The model makes specific predictions about the distribution of creative quality. Routine combinations — elements from the same tradition, the same school, the same subfield — are generated easily and constitute the vast majority of creative output in any domain. Radical combinations — elements from different domains, different traditions, different centuries — are difficult to

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