TY - JOUR
T1 - A self-help guide for autonomous systems
AU - Anderson, Michael L.
AU - Fults, Scott
AU - Josyula, Darsana P.
AU - Oates, Tim
AU - Perlis, Don
AU - Schmill, Matt
AU - Wilson, Shomir
AU - Wright, Dean
PY - 2008/6
Y1 - 2008/6
N2 - Humans learn from their mistakes, When things go badly, we notice that something is amiss, figure out what went wrong and why, and attempt to repair the problem. Artiflcial systems depend on their human designers to program in responses to every eventuality and therefore typically don't even notice when things go wrong, following their programming over the proverbial, and in some cases literal, cliff. This article describes our past and current work on the metacognitive loop, a domain-general approach to giving artificial systems the ability to notice, assess, and repair problems. The goal is to make artificial systems more robust and less dependent on their human designers.
AB - Humans learn from their mistakes, When things go badly, we notice that something is amiss, figure out what went wrong and why, and attempt to repair the problem. Artiflcial systems depend on their human designers to program in responses to every eventuality and therefore typically don't even notice when things go wrong, following their programming over the proverbial, and in some cases literal, cliff. This article describes our past and current work on the metacognitive loop, a domain-general approach to giving artificial systems the ability to notice, assess, and repair problems. The goal is to make artificial systems more robust and less dependent on their human designers.
UR - http://www.scopus.com/inward/record.url?scp=48549104135&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=48549104135&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:48549104135
SN - 0738-4602
VL - 29
SP - 67
EP - 76
JO - AI Magazine
JF - AI Magazine
IS - 2
ER -