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arXiv · 1210.4911

Multi-objective Influence Diagrams

Radu Marinescu·Abdul Razak·Nic Wilson
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Abstract

We describe multi-objective influence diagrams, based on a set of p objectives, where utility values are vectors in Rp, and are typically only partially ordered. These can still be solved by a variable elimination algorithm, leading to a set of maximal values of expected utility. If the Pareto ordering is used this set can often be prohibitively large. We consider approximate representations of the Pareto set based on e-coverings, allowing much larger problems to be solved. In addition, we define a method for incorporating user tradeoffs, which also greatly improves the efficiency.

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Radu Marinescu, Abdul Razak, Nic Wilson. 2012-10-16. Multi-objective Influence Diagrams. https://arxiv.org/abs/1210.4911

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