Abstract: A method for building a rulebase includes receiving a plurality of rulebase components. The method also includes merging the rulebase components to create a consolidated rulebase.

Abstract: A method for building a rulebase includes receiving a plurality of rulebase components. The method also includes merging the rulebase components to create a consolidated rulebase.

Abstract: A method for building a rulebase includes receiving a plurality of rulebase components. The method also includes merging the rulebase components to create a consolidated rulebase.

Abstract: An adaptive system modeling method is provided. A system model is generated by using data corresponding to an input features set selected by using a baseline significance signature of the system. A superset of the input features and other features also is selected by using the baseline significance signature. Data collected from the system corresponding to the superset is maintained online. A new significance signature of the system is periodically or intermittently determined by performing a discriminant analysis using the online superset data, and is used to detect an evolutionary change in the system.

Abstract: A method for building a rulebase includes receiving a plurality of rulebase components. The method also includes merging the rulebase components to create a consolidated rulebase.

Abstract: A method for building a rulebase includes receiving a plurality of rulebase components. The method also includes merging the rulebase components to create a consolidated rulebase.

Abstract: A data mining system and method are provided. The system includes at least one client and a service broker configured to include an interface to receive a consultation request from the client. The service broker forwards the consultation request to a Neugent to invoke a consultation of the Neugent, and forwards to the client a result object returned by the Neugent.

Abstract: A method of training a neural net includes receiving a plurality of sets of data, each set representative of a plurality of inputs to the neural net and a resulting at least one output from the neural net and calculating a plurality of network weights for the neural network based on the received plurality of sets of data. Calculating the plurality of network weights including attributing greater weight in the calculation to at least one set of the plurality of sets of data than at least one other set of the plurality of sets of data.

Abstract: A method for providing inferencing services includes receiving a plurality of rules for a specified domain. The method also includes identifying a precondition associated with the rules and a postcondition associated with the rules. The precondition represents an input used in executing the rules, and the postcondition represents an output from the execution of the rules. The method further includes receiving an input value corresponding to the precondition. In addition, the method includes executing at least a portion of the rules using the input value to generate an output value. The output value corresponds to the postcondition.

Abstract: A method for plan generation is provided. One or more initial plans are generated and evaluated to determine quality scores for the plans. One or more of the plans is selected according to the quality scores and modified to generate modified plans. The modified plans are evaluated to determine updated quality scores for the modified plans. Selection, modification and evaluation of modified plans are repeated until one of the modified plans is satisfactory.

Abstract: A method for automated feature selection is provided. One or more initial sets of features are generated and evaluated to determine quality scores for the feature sets. Selected ones of the feature sets are (i) chosen according to the quality scores and modified to generate a generation of modified feature sets, (ii) the modified feature sets are evaluated to determine quality scores for the modified feature sets, and (i) and (ii) are repeated until a modified feature set is satisfactory.

Abstract: A data mining system and method are provided. The system includes at least one client and a service broker configured to include an interface to receive a consultation request from the client. The service broker forwards the consultation request to a Neugent to invoke a consultation of the Neugent, and forwards to the client a result object returned by the Neugent.

Abstract: An adaptive system modeling method is provided. A system model is generated by using data corresponding to an input features set selected by using a baseline significance signature of the system. A superset of the input features and other features also is selected by using the baseline significance signature. Data collected from the system corresponding to the superset is maintained online. A new significance signature of the system is periodically or intermittently determined by performing a discriminant analysis using the online superset data, and is used to detect an evolutionary change in the system.

Abstract: A method for providing inferencing services includes receiving a plurality of rules for a specified domain. The method also includes identifying a precondition associated with the rules and a postcondition associated with the rules. The precondition represents an input used in executing the rules, and the postcondition represents an output from the execution of the rules. The method further includes receiving an input value corresponding to the precondition. In addition, the method includes executing at least a portion of the rules using the input value to generate an output value. The output value corresponds to the postcondition.

Abstract: A method for building a rulebase includes receiving a plurality of rulebase components. The method also includes merging the rulebase components to create a consolidated rulebase.