Modular utility representation for decision-theoretic planning
Proceedings of the first international conference on Artificial intelligence planning systems
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
A Logic of Relative Desire (Preliminary Report)
ISMIS '91 Proceedings of the 6th International Symposium on Methodologies for Intelligent Systems
A symmetric view of utilities and probabilities
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Automated trend detection with alternate temporal hypotheses
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
Reasoning with conditional ceteris paribus preference statements
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Graphical models for preference and utility
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Conditional utility, utility independence, and utility networks
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
The local geometry of multiattribute tradeoff preferences
Artificial Intelligence
Representing and reasoning with qualitative preferences for compositional systems
Journal of Artificial Intelligence Research
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We seek to construct autonomous adaptive survivable systems that use active trust management to adapt their own behavior in the face of compromises in the computational environment. Active trust management maintains probabilistic trust models that indicate the trustworthiness of different resources for different tasks, and uses these models in rationally adapting allocations of computational resources to tasks. Flexible adaptation of allocations to changing circumstances places great demands on the methods used to represent the utility information needed by rational decision-making mechanisms. This paper explains how to use qualitative preference specifications to exercise effective control over quantitative trust-based resource allocation by facilitating convenient specification and adaptation of the stable foundations of the trust manager's utility judgments.