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: 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 system and method for handling duration values includes associating a duration value with a start datetime to allow precise duration handling. Thus, a uniform time line approach may be used to handle duration arithmetic, comparisons, or other computations for duration values. For example, the uniform time line approach may characterize a duration value as a difference between two endpoints of a timeline segment having a length equal to the duration value. As a result, duration operations can be carried out with precision and accuracy using simple calendar calculations.

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 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 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.

Abstract: An integrated system and method for providing a flexible expert system development and runtime environment with an integrated natural language processor and set-oriented knowledge base. The system and process include an input device, a spreading activation module, a reasoning module, a decision module, and a knowledge base. The system and method may also include a natural language processing module. The spreading activation module utilizes the knowledge base, which is set-oriented with named relationships between concepts to traverse the knowledge base efficiently. The reasoning module executes related, nested logic statements which manipulate the complex facts in the knowledge base. The decision module selects the value or values from a list which are most relevant at the moment the module is called. The knowledge base represents all data in a nested, set-oriented manner. The system and method, in turn, produce an output in response to the input or command into the system.

Abstract: An integrated system and method for providing a flexible expert system development and runtime environment with an integrated natural language processor and set-oriented knowledge base. The system and process include an input device, a spreading activation module, a reasoning module, a decision module, and a knowledge base. The system and method may also include a natural language processing module. The spreading activation module utilizes the knowledge base, which is set-oriented with named relationships between concepts to traverse the knowledge base efficiently. The reasoning module executes related, nested logic statements which manipulate the complex facts in the knowledge base. The decision module selects the value or values from a list which are most relevant at the moment the module is called. The knowledge base represents all data in a nested, set-oriented manner. The system and method, in turn, produce an output in response to the input or command into the system.

Abstract: An integrated system and method for providing a flexible expert system development and runtime environment with an integrated natural language processor and set-oriented knowledge base. The system and process include an input device, a spreading activation module, a reasoning module, a decision module, and a knowledge base. The system and method may also include a natural language processing module. The spreading activation module utilizes the knowledge base, which is set-oriented with named relationships between concepts to traverse the knowledge base efficiently. The reasoning module executes related, nested logic statements which manipulate the complex facts in the knowledge base. The decision module selects the value or values from a list which are most relevant at the moment the module is called. The knowledge base represents all data in a nested, set-oriented manner. The system and method, in turn, produce an output in response to the input or command into the system.