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IWSAS
2000
Springer

An Architecture for Self-Adaptation and Its Application to Aerial Image Understanding

8 years 7 months ago
An Architecture for Self-Adaptation and Its Application to Aerial Image Understanding
Abstract. Certain problems in which the environment is not well constrained do not lend themselves to a conventional open loop solution. Image understanding is such a problem domain. Image analysis programs are notoriously brittle. By using a self-adaptive approach for these problem domains we may be able to produce more robust and useful behavior. We describe an architecture that uses re ection to provide a mechanism for self-monitoring and self-modi cation and uses code synthesis as a means of modifying code dynamically in the face of changing assumptions about the environment of the computation.
Paul Robertson
Added 25 Aug 2010
Updated 25 Aug 2010
Type Conference
Year 2000
Where IWSAS
Authors Paul Robertson
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