Learning functions in k-DNF from reinforcement
Proceedings of the seventh international conference (1990) on Machine learning
Do the right thing: studies in limited rationality
Do the right thing: studies in limited rationality
Visual tracking of known three-dimensional objects
International Journal of Computer Vision
Robust model-based motion tracking through the integration of search and estimation
International Journal of Computer Vision
Active vision
Contour Tracking by Stochastic Propagation of Conditional Density
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Gesture recognition using the Perseus architecture
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Animat vision: Active vision in artificial animals
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Optimal Window Size for Visual Tracking for Uniform CCDs
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Digital Signal Processing (4th Edition)
Digital Signal Processing (4th Edition)
What is wrong with us? Improving robustness through social diagnosis
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Incremental Focus of Attention for Robust Vision-Based Tracking
International Journal of Computer Vision
Improving fault-tolerance by replicating agents
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
Scalability and information agents
ACM SIGAPP Applied Computing Review
An Integrated Framework for Robust Real-Time 3D Object Tracking
ICVS '99 Proceedings of the First International Conference on Computer Vision Systems
Using Agent Replication to Enhance Reliability and Availability of Multi-agent Systems
AI '02 Proceedings of the 15th Conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
Robust artificial life via artificial programmed death
Artificial Intelligence
Robust agent teams via socially-attentive monitoring
Journal of Artificial Intelligence Research
Multi-agent system that attains longevity via death
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
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One quality that makes biological systems appear intelligent is their robustness to difficult circumstances. Robustness is crucial to intelligent behavior and important to AI research. We distinguish between ante-failure and post-failure robustness for causal tasks. Ante-failure robust systems resist failure, whereas post-failure systems incorporate the ability to recover from failure once it happens. We point out the power of post-failure robustness in AI problems, closely examining one example in visual motion tracking. Finally, we raise theoretical issues and argue for greater effort towards building post-failure robust systems.