Toward learning the causal layer of the Spatial Semantic Hierarchy using SOMs

Jefferson Provost, Patrick Beeson, and Benjamin J. Kuipers. Toward learning the causal layer of the Spatial Semantic Hierarchy using SOMs. In Symposium on Learning Grounded Representations, AAAI Spring Symposium Series, Stanford, CA, March 2001. 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.

BibTeX

@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},
}

Download:

[209.9KB pdf]