Sensor-to-symbol reasoning for embedded intelligence

David Kortenkamp, Patrick Beeson, and Nick Cassimatis. Sensor-to-symbol reasoning for embedded intelligence. In Symposium on Embedded Reasoning: Intelligence in Embedded Systems, AAAI Spring Symposium Series, Stanford, CA, March 2010.

Abstract

Sensor-to-symbol conversion lies at the heart of all embedded intelligent systems. The everyday world occupied by human stakeholders is dominated by objects that have symbolic labels. For an embedded intelligent system to operate in such a world it must also be able to segment its sensory stream into objects and label those objects appropriately. It is our position that development of a consistent and flexible sensor-to-symbol reasoning system (or architecture) is a key component of embedded intelligence.

BibTeX

@InProceedings{Kortenkamp-sss-10,
  author =       {David Kortenkamp and Patrick Beeson and Nick Cassimatis},
  title =        {Sensor-to-symbol reasoning for embedded intelligence},
  booktitle =    {Symposium on Embedded Reasoning: Intelligence in Embedded
                  Systems},
  year =         2010,
  series =       {AAAI Spring Symposium Series},
  address =      {Stanford, CA},
  month =        {March},
  abstract =     {Sensor-to-symbol conversion lies at the heart of all
                  embedded intelligent systems.  The everyday world occupied
                  by human stakeholders is dominated by objects that have
                  symbolic labels.  For an embedded intelligent system to
                  operate in such a world it must also be able to segment its
                  sensory stream into objects and label those objects
                  appropriately.  It is our position that development of a
                  consistent and flexible sensor-to-symbol reasoning system
                  (or architecture) is a key component of embedded
                  intelligence.},
  bib2html_pubtype ={Workshop},
  bib2html_rescat ={Symbol Grounding/Anchoring},
}

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