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 ={Sensor Grounding},
}