An architecture for self-adaptation and its application to aerial image understanding

Authors:
Paul Robertson
Affiliations:
-
Venue:
IWSAS' 2000 Proceedings of the first international workshop on Self-adaptive software
Year:
2000

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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 reflection to provide a mechanism for self-monitoring and self-modification and uses code synthesis as a means of modifying code dynamically in the face of changing assumptions about the environment of the computation.