Background: Multi-modal logic has found many applications in computer science, also providing a framework to model temporal and spatial information. Reasoning in this logic is crucial in many real-world applications from different fields. At the same time, these applications live in scenarios characterized by uncertain...
Guillermo Badia, Riccardo Monego, Carles Noguera et al.· Journal of Artificial Intell...· 0 citations
A multi-LLM \emph{council} lets several large language models (LLMs) deliberate on a question and return an answer together with a confidence estimate. As these systems become increasingly used for reasoning, that confidence should represent a calibrated \emph{probability of being correct}, and the decision should rema...
A systematic review and synthesis of symbolic explainable AI (XAI) for deep learning is provided and a conceptual framework is proposed that clarifies training–inference flows, explanation interfaces, human feedback, and governance touchpoints is proposed.
Eduard Ionel Stan, G. Sciavicco, Paolo Napoletano· Journal of Artificial Intell...· 0 citations
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