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Dokumenttyp:
Konferenzbeitrag 
Autor(en):
Paul Maier, Dominik Jain, Stefan Waldherr, Martin Sachenbacher 
Titel:
Plan Assessment for Autonomous Manufacturing as Bayesian Inference 
Abstract:
Next-generation autonomous manufacturing plants create individual- ized products by automatically deriving manufacturing schedules from design specifications. However, because planning and scheduling are computationally hard, they must typically be done offline using a simplified system model, mean- ing that online observations and potential component faults cannot be considered. This leads to the problem of plan assessment: Given behavior models and current observations of the plant’s (possibly...    »
 
Stichworte:
plan assessment, probabilistic reasoning 
Kongress- / Buchtitel:
33rd Annual German Conference on Artificial Intelligence (KI-2010) 
Kongress / Zusatzinformationen:
Accepted for publication 
Jahr:
2010 
Sprache:
en 
Hinweise:
The original publication is available at www.springerlink.com 
Format:
Text