arXiv:2606.13977v1 Announce Type: new Abstract: "Integrative" solutions are widely praised but rarely defined: we lack an operational way to tell a genuine integration -- one that makes the world cheaper to describe -- from a tidy re-description. Building on the lineage that treats creativity and intelligence as compression, we give such a criterion for creative integration (CI): the resolution of a real conflict between A and B is CI if and only if, under a fixed description language, the description length strictly shrinks (C = L_pre/L_post > 1), with the reduction located in the conflict it
The paper builds on a long lineage of research in AI and cognitive science, presenting a formal criterion for a concept often discussed but rarely rigorously defined in the field.
Defining 'creative integration' operationally could provide a quantifiable metric for assessing genuine creativity in AI, guiding the development of more advanced and truly innovative systems.
The ability to measure 'creative integration' as a 'description length shrinkage' offers a new, quantitative benchmark for AI capabilities beyond traditional performance metrics.
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This work establishes a formal, computational definition for 'creative integration' within AI.
This definition could lead to a new generation of AI systems explicitly designed and optimized for human-like creative problem-solving.
Quantifiable creativity metrics might accelerate the development of agentic AI systems capable of genuinely innovative and non-obvious solutions to complex, multi-domain challenges.
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