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Richard Lange

2 accepted papers

2026

Position: Artificial Intelligence Needs Meta Intelligence - the Case for Metacognitive AI

ICML 2026poster

This position paper argues for metacognition as a general design principle for creating more accurate, secure, and efficient AI. The metacognitive solution involves systems monitoring their own states and judiciously allocating resources depending on each problem instance's difficulty or cost of mis…

Cited by 0SourceScholar
2018

A probabilistic population code based on neural samples

NeurIPS 2018oral

Sensory processing is often characterized as implementing probabilistic inference: networks of neurons compute posterior beliefs over unobserved causes given the sensory inputs. How these beliefs are computed and represented by neural responses is much-debated (Fiser et al. 2010, Pouget et al. 2013)…

Cited by 28SourcePDFScholar