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Centralized vs Individual Models for Decision Making in Interconnected Infrastructure
Stephanie Allen · John P Dickerson · Steven Gabriel

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in AI for Science »
Event URL: https://openreview.net/forum?id=u6ThcMgz2zS »

The 2013 National Infrastructure Protection Plan outlines the need for interconnected infrastructure systems to coordinate more and recognize their interdependencies. We model the two extremes of this coordination spectrum using two different multi-agent models: (a) a model called the centralized model in which the agents are fully centralized and act as one unit in making decisions and (b) a model called the individual model in which the agents act completely separately and have either a pessimistic or optimistic assumption regarding the damages of the other infrastructure systems controlled by the other agents. We then use the individual model to establish a point along the coordination spectrum by providing the individual agents with delayed information regarding the other player(s). To test this framework, we use a small but illustrative model from a 2020 paper in which there is a power and a water network, and we assume that there are operators for both networks that would like to maximize flow according to a specific metric. Our results comparing partially repaired networks using the two models find that (i) the centralized model acts as an upper bound upon the individual model in terms of our flow metric and (ii) the delayed information individual model leads to less variability in results compared to the other individual model assumptions which points to the value of at least delayed coordination in decision making.

Author Information

Stephanie Allen (University of Maryland, College Park)

Hello, my name is Stephanie Allen, and I am a Ph.D. candidate in the Applied Mathematics, Statistics, and Scientific Computation Ph.D. program at the University of Maryland, College Park. My dissertation focuses mainly on inverse optimization applied to game theory and equilibrium models in the service of the social good.

John P Dickerson (Arthur AI & Univ. of Maryland)
Steven Gabriel

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