A Research Programme for Continual and Neurosymbolic Learning in Epistemic Artificial Intelligence

Abstract excerpt

Artificial intelligence has achieved enormous visibility in recent years, mostly thanks to the success of deep learning and its generative AI applications. Still, current state-of-the-art models remain brittle and struggle to provide reliable predictions under settings that differ, often even marginally, from those that generate their training data. The issue is only compounded when one attempts to enable machines...

Topics

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• Catechol O-Methyltransferase
• Learning
• Memory, Short-Term
• Models, Neurological
• Photic Stimulation
• Psychomotor Performance
• Receptors, G-Protein-Coupled
• Reinforcement, Psychology

Identifiers and source

Literature Corpus work

6fe11895-31a2-5417-8066-0d05d0f7b03b

DOI

10.20944/preprints202605.1053.v1