Adaptive model detection is a new approach for overcoming catastrophic forgetting in AI. Comparing the predictions made by a learning agent (for example, a neural network) to the events which actually occur in the environment allows for explainable detection of changes in the environment. Read the full paper for details. Please open an issue or email me if you have any issues, questions, or suggestions.

This material is based upon work supported by the United States Air Force Research Laboratory (AFRL) and Defense Advanced Research Projects Agency (DARPA) under Contract No. FA8750-18-C-0103. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the United States Air Force Research Laboratory (AFRL) and Defense Advanced Research Projects Agency (DARPA).