XPost: sci.cognitive   
      
   I have funding for a postdoc and research programmer in the Human-   
   Level Intelligence Laboratory at the Rensselaer Department of   
   Cognitive Science.  There is a little flexibility in the start date,   
   but sooner is better.   
      
   The position involve working on one of the following projects:   
      
   1. We are studying how to adapt general-purpose inference approaches   
   such as SAT solving and inference in probabilistic graphical models   
   for larger, real-world problems.  We are creating extensions to these   
   algorithms to deal with time, equality, object parts, first-order   
   relations, etc.  This approach enables solutions to hard problems in   
   language parsing, SLAM, object tracking, motion planning and human   
   intention recognition.  The goal is to find a relatively small set of   
   extensions that enable reasoning in a wide array of domains.  The   
   following articles motivate this approach:   
      
   N.L. Cassimatis (2006).  A Cognitive Substrate for Human-Level   
   Intelligence.  AI Magazine. Volume 27 Number 2.   
      
   N. L. Cassimatis et al. (2007).  An Architecture for Adaptive   
   Algorithmic Hybrids.  In Proceedings of AAAI-07.   
      
   2. We are developing a question-answering system the combines   
   reasoning about the world, reasoning about people's intentions and   
   sentence parsing.  The goal is to be able to ask a system a specific   
   question and get a specific answer instead of a long list of search   
   results.  The project needs people interested and knowledgeable in   
   computational linguistics, human-language grammar, pragmatics and/or   
   automated inference techniques.   
      
   If you are interested in this position, please respond at this   
   address.   
      
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