Patent ID: 8352407

Claim:
A method for decision making under uncertainty, the method comprising: providing a causality framework, wherein the causality framework defines relationships between an alternative (Ai) of a set of alternatives and at least one performance indicator of a set of performance indicators; conducting, by a system having a processor, a k-concurrent lottery (Li) associated with the alternative (Ai), wherein the alternative (Ai) has consequences over k ones of the set of performance indicators; homogenizing, by the system, the k-concurrent lottery (Li) over the set of performance indicators, the homogenizing occurring when the k ones is less than a number of the set of performance indicators; computing, an expected utility of the k-concurrent lottery (Li) for each one of the set of alternatives; and selecting, by the system, one alternative from the set of alternatives, the selecting occurring in accordance with a selection criteria based on the expected utility.