Intelligent decision simulating experimental system based on multi-Agent technology

Abstract

The invention relates to an intelligent decision simulating experimental system based on multi-Agent technology, belonging to the crossed field of computer simulation, artificial intelligence and management experiment, and being the breakthrough and the development of a management experimental methodology and an intelligent decision support system on the concept, the theory, the technology and the function. The system is a large-scale experimental platform for carrying out simulation assisted prediction and decision on discrete events in management activities of the real world. In the method, an isomerized Agent and the group collaboration thereof are creatively used as leading roles of transparent processing of a decision experiment and a system simulation, four functional sub-systems, four layers of Agent system structures and four types of local databases are established, and predictions and decisions of four simulating experimental methods are applied to unify a system module. The invention is based on an internet, synthetically uses several new technologies of cloud computing and the artificial intelligence, increases functions of games of strategy, machine planning, knowledge discovery and logic self-building, and has super experimental capability. The invention is a new way for developing the management experimental technology and the intelligent decision support system.

Description

Technical field [0001] The invention relates to an intelligent simulation system for management experiment or decision support based on multi-agent technology. Its concept can be defined as: Intelligent Decision Simulation Experimental System (IDSES), which belongs to the cross field of computer simulation, artificial intelligence and management experiment. It is a kind of integrated system simulation, computer graphics and artificial intelligence. A more advanced intelligent decision-making system based on new technologies, cloud computing and management experiment methodology. Background technique [0002] If everything is planned, it is not planned, and management experiments play an extremely important role in organizational decision-making, such as optimizing design to reduce costs, predicting results to avoid risks, improving efficiency and shortening cycles, and virtual reality reducing material consumption. Whether it is at the operational level or at the strategic level ...

AI Technical Summary

Problems solved by technology

However, the biggest defect of IDSS is the lack of simulation experiment process, that is, the prediction process, especially the visual simulation process, the effect of auxiliary decision-making cannot be pre-tested

In addition, when encountering the shortage of expert knowledge and the need for large-scale complex parallel computing, the efficiency will become very low

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