Tamburini Fabio
Department of Classical Philology and Italian Studies, University of Bologna, Bologna, Italy.
Front Artif Intell. 2025 May 30;8:1581129. doi: 10.3389/frai.2025.1581129. eCollection 2025.
This paper introduces a novel method for addressing the challenge of deciphering ancient scripts. The approach relies on combinatorial optimisation along with coupled simulated annealing, an advanced technique for non-convex optimisation. Encoding solutions through k-permutations facilitates the representation of null, one-to-many, and many-to-one mappings between signs. In comparison to current state-of-the-art systems evaluated on established benchmarks from literature and three new benchmarks introduced in this study, the proposed system demonstrates superior performance in enhancing cognate identification results.
本文介绍了一种应对破译古代文字挑战的新方法。该方法依赖于组合优化以及耦合模拟退火，这是一种用于非凸优化的先进技术。通过k排列对解决方案进行编码有助于表示符号之间的空映射、一对多映射和多对一映射。与根据文献中既定基准以及本研究中引入的三个新基准进行评估的当前最先进系统相比，所提出的系统在增强同源识别结果方面表现出卓越的性能。
