Abstract: A method for identifying underperforming agents in a multi-agent cooperative system includes receiving information relating to the performance of each agent in the multi-agent system, calculating an estimated extracted resource value of each agent based on the received information, comparing the estimated extracted resource value of each agent to a threshold value, calculating a performance index based on the comparison and identifying an agent as an under-performing agent based on the performance index.

Abstract: A method for identifying underperforming agents in a multi-agent cooperative system includes receiving information relating to the performance of each agent in the multi-agent system, calculating an estimated extracted resource value of each agent based on the received information, comparing the estimated extracted resource value of each agent to a threshold value, calculating a performance index based on the comparison and identifying an agent as an under-performing agent based on the performance index.

Abstract: A method for increasing a meantime between service visits in an industrial system includes receiving event information from at least one information source, building an event network from the received event information, identifying a sequence of events indicative of a fault, and determining a cost-minimizing resolution to address the fault, wherein the event network is configured to identify a sequence of events that do not occur in direct chronological sequence. A services diagnostic engine may be configured to receive the event information, extract features of each event in the event information, identify a relationship between a first event and a second event and create a logical connection between the first and second event. The cost minimizing recommendation includes a remote operation to reset a component, for example remotely resetting a circuit breaker. The cost minimizing recommendation may be carried out automatically or presented to a user for consideration.

Abstract: A system comprises determination of an objective function representing costs of creating doses of a positron emission tomography radioactive tracer and delivering the doses to customers, the objective function being subject to production constraints associated with one or more cyclotrons, delivery constraints and customer constraints, where the production constraints, delivery constraints and customer constraints are defined by discrete variables, continuous variables and parameter values, reception of a set of parameter values, generation of a solution to the objective function based on received set of parameter values to determine values of the discrete variables and the continuous variables which correspond to suitable costs of creating the doses and delivering the doses to customers, and generation of a positron emission tomography radioactive tracer production plan and a delivery schedule based on the values of the discrete variables and the continuous variables.

Abstract: According to an aspect of the invention, there is provided a method for optimizing a cost of electric power generation in a smart site energy management model, including determining a matrix X that minimizes a semidefinite program C·X?? ln(det(X)) subject to constraints ABL(X)=bBL, AEG(X)=bEG, AIF(X)=bIF, X0, for positive real values of ? as ? approaches zero, wherein C·X is a cost function that models a smart building-grid energy, where C is a parameter matrix, X is a decision variable matrix, ABL(X), AEG(X), and AIF(X) are sparse constraint matrices, bBL, bEG, and bIF are constants derived from the constraints, and exploiting the sparsity of matrices ABL(X), AEG(X), and AIF(X) in determining a search direction for determining the vector X.