Classification by minimum-message-length inference
ICCI'90 Proceedings of the international conference on Advances in computing and information
Dynamic self adaptation in distributed systems
IWSAS' 2000 Proceedings of the first international workshop on Self-adaptive software
An architecture for self-adaptation and its application to aerial image understanding
IWSAS' 2000 Proceedings of the first international workshop on Self-adaptive software
Statistical Language Learning
Guest Editor's Introduction: Creating Robust Software through Self-Adaptation
IEEE Intelligent Systems
Adaptive Image Analysis for Aerial Surveillance
IEEE Intelligent Systems
Control Theory-Based Foundations of Self-Controlling Software
IEEE Intelligent Systems
A Model-Based Approach to Self-Adaptive Software
IEEE Intelligent Systems
An Architecture-Based Approach to Self-Adaptive Software
IEEE Intelligent Systems
Self-Adaptive Software for Hard Real-Time Environments
IEEE Intelligent Systems
A Self-Adaptive Architecture and Its Application to Robust Face Identification
PRICAI '02 Proceedings of the 7th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
CT '97 Proceedings of the 2nd International Conference on Cognitive Technology (CT '97)
The Schema System
Metamodeling-rapid design and evolution of domain-specific modeling environments
ECBS'99 Proceedings of the 1999 IEEE conference on Engineering of computer-based systems
A Quality-Driven Approach to Enable Decision-Making in Self-Adaptive Software
ICSE COMPANION '07 Companion to the proceedings of the 29th International Conference on Software Engineering
Self-adaptive software: Landscape and research challenges
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Intelligent adaptive monitoring for cardiac surveillance
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Perceptually grounded self-diagnosis and self-repair of domain knowledge
Knowledge-Based Systems
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Self Adaptive Software monitors its own operation and attempts to correct deviations from required behavior. In the self adaptive architectures we are developing, it accomplishes this by diagnosing the sources of deviant behavior, whether internal program problems, or contextual changes in an embedded program's environment. The software then responds by reconfiguring itself, to use alternate procedures that either correct the malfunction, or perform better in the current context. We present the GRAVA architecture as an example, and show how it utilizes diagnosis of the external context to limit complexity and enhance robustness in several vision applications.