@COMMENT This file was generated by bib2html.pl <https://sourceforge.net/projects/bib2html/> version 0.94
@COMMENT written by Patrick Riley <http://sourceforge.net/users/patstg/>
@COMMENT This file came from Patrick Beeson's publication pages at
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@InProceedings{Provost-sss-01,
  author =	 {Jefferson Provost and Patrick Beeson and Benjamin
                  J. Kuipers},
  title =	 {Toward learning the causal layer of the {Spatial
                  Semantic Hierarchy} using {SOMs}},
  booktitle =	 {Symposium on Learning Grounded Representations},
  year =	 2001,
  series =	 {AAAI Spring Symposium Series},
  address =	 {Stanford, CA},
  month =	 {March},
  note =	 {AAAI Technical Report SS-01-05.},
  abstract =	 {The Spatial Semantic Hierarchy (SSH) is a
                  multi-level representation of the cognitive map used
                  for navigation in largescale space. We propose a
                  method for learning a portion of this
                  representation, specifically, the representation of
                  views in the causal level of the SSH using
                  self-organizing neural networks (SOMs). We describe
                  the criteria that a good view representation should
                  meet, and why SOMs are a promising view
                  representation. Our preliminary experimental results
                  indicate that SOMs show promise as a view
                  representation, though there are still some problems
                  to be resolved.},
  bib2html_pubtype ={Workshop},
  bib2html_rescat ={Foundational Learning},
}