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team:daniel_nyga [2014/02/18 21:02] – [Daniel Nyga, M.Sc. (TUM)] tenorthteam:daniel_nyga [2015/02/04 10:39] – [Teaching] nyga
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 Knowledge about actions and objects is represented as //Probabilistic Robot Action Cores (PRAC)//, which can be thought of generic event patterns that enable a robot to infer important information that is missing in an original natural-language instruction. PRAC models are represented in //Markov Logic Networks//, a powerful knowlegde represenation formalism combing first-order logic and probability theory. Knowledge about actions and objects is represented as //Probabilistic Robot Action Cores (PRAC)//, which can be thought of generic event patterns that enable a robot to infer important information that is missing in an original natural-language instruction. PRAC models are represented in //Markov Logic Networks//, a powerful knowlegde represenation formalism combing first-order logic and probability theory.
  
-I am also involved in the European research projects [[http://www.youtube.com/watch?v=qQG3CkH27qc#t=118|RoboHow]] ([[http://www.robohow.org]]) and [[http://www.acat-project.org|ACAT]].+I am also involved in the European research projects [[http://www.youtube.com/watch?v=qQG3CkH27qc#t=118|RoboHow]] ([[http://www.robohow.org]]) and [[http://www.acat-project.eu|ACAT]].
  
 If you are interested in a student project in any of the above topics, please contact me via E-Mail or just drop into my office.  If you are interested in a student project in any of the above topics, please contact me via E-Mail or just drop into my office. 
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 ====Teaching==== ====Teaching====
-  * Knowledge Acquisition and Representation ([[https://ai.uni-bremen.de/teaching/ki2-2013|WS2013/14]]) (Co-Lecturer)+  * Foundations of Artificial Intelligence ([[https://ai.uni-bremen.de/teaching/le-ai-ss15|SS2015]]) (Tutorial) 
 +  * AI: Knowledge Acquisition and Representation ([[https://ai.uni-bremen.de/teaching/le-ki2-ws14|WS2014/15]]) (Lecture) 
 +  * Foundations of Artificial Intelligence ([[https://ai.uni-bremen.de/teaching/kiss2014|SS2014]]) (Tutorial) 
 +  * AI: Knowledge Acquisition and Representation ([[https://ai.uni-bremen.de/teaching/ki2-2013|WS2013/14]]) (Co-Lecturer)
   * Foundations of Artificial Intelligence ([[https://ai.uni-bremen.de/teaching/kiss2013|SS2013]]) (Tutorial)   * Foundations of Artificial Intelligence ([[https://ai.uni-bremen.de/teaching/kiss2013|SS2013]]) (Tutorial)
   * Technical Cognitive Systems (Lecture & Tutorial, @TUM) ([[https://ias.cs.tum.edu/teaching/ss2012/techcogsys|SS2012]])   * Technical Cognitive Systems (Lecture & Tutorial, @TUM) ([[https://ias.cs.tum.edu/teaching/ss2012/techcogsys|SS2012]])
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