Abstract: A method and system for an agent-based evidential reasoning decision computer system for determining an adoption rate of a trend is provided. The system includes a plurality of nodes arranged in a tree structure. The plurality of nodes define an evidential reasoning algorithm where lower level nodes receive factors to be considered in the decision and each node assigns a likelihood of an outcome of the received factors, and generates an output to a subsequent higher level node or root of the tree structure. The system also includes a plurality of agent models organized in a hierarchical structure, each agent model comprising a respective set of the plurality of nodes and an output of the agent model, each agent model representing a member of a population, and an aggregator algorithm configured to combine the outputs of the plurality of agent models to generate an output representing an adoption rate.

Abstract: This disclosure describes a system and method for providing efficiency and cost analysis for a power generation unit. The system of this disclosure includes a current condition data acquisition logic that acquires a plurality of current condition variables for the power generation unit. A design constants acquisition logic acquires a plurality of design constants for the power generation unit; and an analysis logic calculates a operational efficiency of the power generation unit. The method provides efficiency and cost analysis for a power generation unit. The method includes the steps of acquiring a plurality of current condition variables for the power generation unit, and acquiring a plurality of design constants for said power generation unit. With the current condition variables and design constants, the method calculates an operational efficiency of the power generation unit.

Abstract: Computerized method and system for making decisions based on evidential reasoning are provided. The method allows for providing a model structure; including a plurality of processing nodes. Each of the processing nodes is coupled to receive a set of inputs to supply a respective output. The method further allows for evaluating a respective attribute assigned to each of the plurality of processing nodes. A number of possible linguistic evidential values is specified for each of the attributes, wherein some of the evidential values comprise unknown information. A combining step allows for combining the outputs from the processing nodes to reach a decision even in the presence of unknown information.

Abstract: An apparatus for deciding credit, the apparatus comprising: a customer identification module adapted for generating customer identification data from salesperson input data; a customer financial data acquisition module adapted for transmitting the customer identification data to a financial data provider and receiving customer financial data from the financial data provider using a communications network; and a credit limit calculator adapted for calculating a credit limit from the customer financial data and from a reasoning model structure using Example Based Evidential Reasoning and for transmitting the credit limit to a credit provider using the communications network.

Abstract: A computerized method for determining a credit line to be issued by a financial service provider to an applicant business entity is provided. The method allows for collection of financial data for the applicant entity. The method further allows for processing the collected financial data to determine a base amount for the credit line. The base credit line is then adjusted based on the output from an evidential reasoning tool to determine the credit line to be issued to the applicant entity.

Abstract: Computerized method and system for making decisions based on evidential reasoning are provided. The method allows for providing a model structure including a plurality of processing nodes. Each of the processing nodes is coupled to receive a set of inputs to supply a respective output. The method further allows for evaluating a respective attribute assigned to each of the plurality of processing nodes. A number of possible linguistic evidential values is specified for each of the attributes, wherein some of the evidential values comprise unknown information. A combining step allows for combining the outputs from the processing nodes to reach a decision even in the presence of unknown information.

Abstract: The present invention discloses a system and method for proactively monitoring risk exposure. In this invention, risk related information is received at an input knowledge source. A shared database stores the risk related information received at the input knowledge source. A plurality of domain knowledge sources formulates a decision on how the risk related information in the shared database affects a predetermined risk category. An output knowledge source generates a risk related report in response to the decisions formulated by each of the plurality of domain knowledge sources. A risk analytics router routes the risk related information in the input knowledge source to the shared database, the risk related information in the shared database to at least one of the domain knowledge sources, the decisions formulated from the domain knowledge sources to the shared database, and the decisions from the shared database to the output knowledge source.