@inproceedings{b916088d4c54451087e17f0cfc8de800,
title = "The metacognitive loop: An architecture for building robust intelligent systems",
abstract = "What commonsense knowledge do intelligent systems need, in order to recover from failures or deal with unexpected situations? It is impractical to represent predetermined solutions to deal with every unanticipated situation or provide predetermined fixes for all the different ways in which systems may fail. We contend that intelligent systems require only a finite set of anomaly-handling strategies to muddle through anomalous situations. We describe a generalized metacognition module that implements such a set of anomaly-handling strategies and that in principle can be attached to any host system to improve the robustness of that system. Several implemented studies are reported, that support our contention.",
author = "H. Haidarian and W. Dinalankara and S. Fults and S. Wilson and Don Perlis and M. Schmill and T. Oates and Josyula, {D. P.} and Anderson, {M. L.}",
year = "2010",
language = "English (US)",
isbn = "9781577354840",
series = "AAAI Fall Symposium - Technical Report",
publisher = "AI Access Foundation",
pages = "33--39",
booktitle = "Commonsense Knowledge - Papers from the AAAI Fall Symposium, Technical Report",
address = "United States",
note = "2010 AAAI Fall Symposium ; Conference date: 11-11-2010 Through 13-11-2010",
}