3 accepted papers
The deployment of pre-trained perception models in novel environments often leads to performance degradation due to distributional shifts. Although recent artificial intelligence approaches for metacognition use logical rules to characterize and filter model errors, improving precision often comes a
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…
The research trend of metacognitive AI deals with the study of artificial intelligence systems that can self-monitor and/or regulate resources. This concept has its roots in cognitive psychology studies on human metacognition. It has led to the understanding of how people monitor, control, and com