A conflict-directed approach to chance-constrained mixed logical linear programming

Artificial Intelligence（2023）

Cited 0|Views31

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Abstract

Resistance to the adoption of autonomous systems comes in part from the perceived unreliability of the systems. The concerns can be addressed by deploying decision making algorithms that defines what it means to fail, and look for plans with the highest reward while limiting the probability of failure.

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Key words

Chance-constrained, Mixed logical linear programming, Optimisation, Probabilistic

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