DOI: 10.1017/pds.2026.10403 ISSN: 2732-527X
A computational framework for design-by-analogy using semantic-network representations
Haoyu Zuo, Yuan Yin, Boheng Wang, Qingjue Wu, Liuqing Chen, Zebin Cai, Qianzhi Jing, Kamyar Hazeri, Bowen Zhan, Saul Haydon Rowe, Shafina Vohra, Peter Childs, Ruocong LiuABSTRACT:
The framework proposed operationalized through four interrelated components: encoding, retrieval, mapping, and evaluation. Semantic networks serve as the underlying knowledge representation that enables information structuring and cross-domain association. By translating cognitive reasoning into a computational architecture, the proposed framework establishes a unified structure for supporting analogical design and provides theoretical and technical guidance for developing future semantic-network-based tools that more effectively facilitate creativity and innovation in conceptual design.