A Cross-Layer, Function-Level Map of Computational Creativity Tools — and the Integration Gap

We survey the landscape of computational creativity tools across four layers — structured methods, B2B software, academic instruments, and AI-assisted systems — and five creative-process functions: generation, prediction, evaluation, navigation, and contextualisation. Mapping 46 tools against this framework reveals a consistent integration gap: no single layer covers all five functions in a coherent end-to-end workflow. AI-assisted tools come closest in breadth but remain weakest on evaluation and contextualisation. We argue that closing this gap requires not just better individual tools, but a principled account of which functions each layer is structurally equipped to serve — and where cross-layer integration is both feasible and necessary.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-18
DOI
https://doi.org/10.5281/zenodo.20746461
Primary Topic
Artificial Intelligence in Games
Type
preprint
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preprint

A Cross-Layer, Function-Level Map of Computational Creativity Tools — and the Integration Gap

Sebastian Wahl
Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Games
preprint

A Cross-Layer, Function-Level Map of Computational Creativity Tools — and the Integration Gap

Sebastian Wahl
preprint en

Abstract

We survey the landscape of computational creativity tools across four layers — structured methods, B2B software, academic instruments, and AI-assisted systems — and five creative-process functions: generation, prediction, evaluation, navigation, and contextualisation. Mapping 46 tools against this framework reveals a consistent integration gap: no single layer covers all five functions in a coherent end-to-end workflow. AI-assisted tools come closest in breadth but remain weakest on evaluation and contextualisation. We argue that closing this gap requires not just better individual tools, but a principled account of which functions each layer is structurally equipped to serve — and where cross-layer integration is both feasible and necessary.

Zenodo (CERN European Organization for Nuclear Research)
National University of Computer and Emerging Sciences (PK)
Artificial Intelligence in Games
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