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cs.AI2026
Networks of Causal Abstractions: A Sheaf-theoretic Framework
Gabriele D'Acunto, Paolo Di Lorenzo, Sergio Barbarossa
A core challenge in causal artificial intelligence is the principled coordination of multiple, imperfect, and subjective causal perspectives arising from distributed agents with li…
cs.AI2024
Semantic Communication Enhanced by Knowledge Graph Representation Learning
Nour Hello, Paolo Di Lorenzo, Emilio Calvanese Strinati
This paper investigates the advantages of representing and processing semantic knowledge extracted into graphs within the emerging paradigm of semantic communications. The proposed…