Software middleware oriented intelligent decision supporting frame and working method thereof

Abstract

The invention discloses a software middleware oriented intelligent decision supporting frame and a working method thereof. The intelligent decision supporting frame comprises a perceptron module, an intelligent decision engine module, a knowledge base module and an interpreter module, wherein the intelligent decision engine module comprises a decision submodule, a learner submodule and a utility evaluation submodule, and the like. The working method of the intelligent decision supporting frame comprises the following steps of: according to an adaptive strategy definitional language, defining a goal, a utility function, a strategy rule and an ontological knowledge; analyzing a decision goal or contextual information, the strategy rule, and the like; respectively forwards reasoning system contexts; backwards reasoning the decision goal; analyzing reasoning results into actual system service; acting the actual system service into a system; and according to the evaluation function, evaluating the reasoning results and regulating the strategy rule. If the intelligent decision supporting frame does not stop, the steps are repeatedly carried out. The invention provides the adaptive strategy definitional language, can support the decision mechanisms of reasoning, planning, learning, and the like, and provides two loop structures of intelligent decisions and strategy update.

Description

Technical field [0001] The invention relates to a software middleware platform, in particular to a software middleware-oriented intelligent decision support framework and a working method thereof. Background technique [0002] Software middleware is the core basic support software for the construction and operation of large-scale and complex application systems under the network environment. By shielding the differences between the underlying operating system, database management system, and network, software middleware provides appropriate business services for upper-level applications. However, on the one hand, these business systems will change as user needs and application goals change; on the other hand, as the business system operating environment gradually changes from closed, static and controllable to open, dynamic, and difficult to control, including the network Changes in internal and external environments such as connections, trust relationships, usage scenarios, and...

AI Technical Summary

Problems solved by technology

However, there is still a lack of a unified intelligent decision-making support framework

On the one hand, there is a lack of a language that can describe adaptive rules and strategies; on the other hand, there is a lack of a comprehensive intelligent decision-making mechanism that integrates optimization, planning, reasoning, prediction and learning

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