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| Both sides previous revisionPrevious revisionNext revision | Previous revisionNext revisionBoth sides next revision | ||
| team:daniel_nyga [2017/06/16 09:27] – [Dissertation] nyga | team:daniel_nyga [2017/06/16 11:46] – [Projects] nyga | ||
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| vagueness and ambiguity in natural language and infer missing | vagueness and ambiguity in natural language and infer missing | ||
| information pieces that are required to render an instruction | information pieces that are required to render an instruction | ||
| - | executable by a robot. To this end, \prac formulates the problem of | + | executable by a robot. To this end, PRAC formulates the problem of |
| instruction interpretation as a reasoning problem in first-order | instruction interpretation as a reasoning problem in first-order | ||
| probabilistic knowledge bases. In particular, the system uses Markov | probabilistic knowledge bases. In particular, the system uses Markov | ||
| Line 59: | Line 59: | ||
| He is the lead developer in the projects [[http:// | He is the lead developer in the projects [[http:// | ||
| - | His GitHub profile can be found [[http:// | + | His GitHub profile can be found [[http:// |
Prof. Dr. hc. Michael Beetz PhD
Head of Institute
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Andrea Cowley
assistant to Prof. Beetz
ai-office@cs.uni-bremen.de
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