Metacognition with EDCR: Error Detection and Correction in Neurosymbolic AI

Learn about metacognition and Error Detection and Correction Rules (EDCR) in this 12-minute video tutorial. Explore the concept of metacognition as the awareness and understanding of one's own thought processes. Discover how EDCR, a neurosymbolic method, can be applied to perform metacognition and account for errors in models, particularly when direct access to the model is unavailable. Delve into topics such as intuition, LRCN, rule learning, and few-shot learning. Gain insights from the research presented in the associated preprint and access the provided code repository for hands-on experience. This tutorial, part of the Neuro Symbolic Channel, offers valuable knowledge at the intersection of symbolic methods and deep learning, contributing to the broader field of artificial intelligence and machine learning.

Introduction
Metacognition
Intuition
LRCN
Error Detection Rules
Rule Learning
Intuitions
Example
Few Shot Learning
Conclusion