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.

Tamburini, F. (2025). On automatic decipherment of lost ancient scripts relying on combinatorial optimisation and coupled simulated annealing. FRONTIERS IN ARTIFICIAL INTELLIGENCE, 8, 1-13 [10.3389/frai.2025.1581129].

On automatic decipherment of lost ancient scripts relying on combinatorial optimisation and coupled simulated annealing

Tamburini Fabio
2025

Abstract

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.
2025
Tamburini, F. (2025). On automatic decipherment of lost ancient scripts relying on combinatorial optimisation and coupled simulated annealing. FRONTIERS IN ARTIFICIAL INTELLIGENCE, 8, 1-13 [10.3389/frai.2025.1581129].
Tamburini, Fabio
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/1030313
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