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<p>The authors describe initial work in autonomous learning, using HERMIES-IIB, their current robotic experimental testbed. The integrated system in HERMIES-IIB (the hostile environment robotic machine intelligence experiment, series IIB) is the latest in a series of autonomous, intelligent machines designed to perform in environments that humans cannot readily enter. They describe a system that learns the control panel's system dynamics and remembers the most efficient series of responses to shut down a control process in case of future encounters with similar (but not necessarily identical) situations. Ultimately, this system could infer a classification scheme for panel categories, enabling it to hypothesize about correct response sequences for panels not yet encountered. They discuss preliminary work on the system's inferencing section.</p>

G. de Saussure, F. Pin, P. Spelt, C. Weisbin and E. Lyness, "Learning by an Autonomous Robot at a Process Control Panel," in IEEE Intelligent Systems, vol. 4, no. , pp. 8-16, 1989.
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