#3419. Human-level design proposals by an artificial agent in multiple scenarios

October 2026publication date
Proposal available till 24-05-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Architecture;
Social Sciences (all);
Arts and Humanities (miscellaneous);
Engineering (all);
Computer Science Applications;
Artificial Intelligence;
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More details about the manuscript: Science Citation Index Expanded or/and Social Sciences Citation Index
Abstract:
Many computational tools are usually trained using human-curated data set of design proposals. However, this approach can limit system capabilities to generate creative designs since human knowledge of the solution space is already embedded in the training process. In this paper, we show how by using a flexible design tool that can also be used by humans, an artificial agent can learn to generate creative designs with any prior knowledge of the solution space. Our results show how our agent is able to create human-level design proposals in terms of performance and novelty. Based on these results, we discuss the importance of defining a shared design language and tools in order to support human-AI collaboration in creative scenarios.
Keywords:
computer-aided design; creative design; creativity; design tools; human-ai collaboration

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