Enabling Agents to Perform Prioritized Multi-Criteria Aggregation

Here the weights correspond to the importance of the Many agent based decisions involve an aggregation of individual of the criteria. the satisfaction to multiple criteria. We consider the It is easy to see that this type of aggregation is situation where there exists a prioritization relationship monotonic, if Ci (x) ≥ Ci (y) for all i then C(x) ≥ C(y). over the criteria. In this situation increase in satisfaction It is bounded Mini [Ci(x)] ≤ C(x) ≤ Max[Ci (x)). It is to a lower priority criteria doesn't readily compensate for a also idempotent, if all Ci (x) = a then C(x) = a. Because decrease in satisfaction in higher priority criteria. of these properties this is an averaging operator. Typically the relationship between safety and cost Central to this type of aggregation is the ability to manifests this property. We suggest that prioritization trade off between criteria. In particular wk between criteria can be modeled by making the weights is th