The Research Of Situation Assessment Technology Based On Hybrid Multi-agent

In the modern information war, along with a variety of high technology is widely used in the military field, the impact of battlefield factors is increasing.And a variety of information, intelligence data is becoming more deceptive and vague.Therefore the battlefield situation assessment is more difficulty in the age of information war. Situation Assessment technology has played an important role in the information war for decision support,as such this subject has an important research value.This paper focuses on the study of the situation assessment model and reasoning algorithm of situation assessment. The contents of the thesis are outlined as follows:1.A hybrid multi-agent situation assessment model is established, through the research of multi-agent systems.The model combined with a variety of characteristics of multi-agent network structure,it can used to represent the battlefield target and its relationship, with this it can grasp the overall situation of the battlefield.The model has provide an efffective framework for situation reasoning.2.Established the network rules for situation reasoning based on hybrid multi-agent.Through combining the situational knowledge rules and mulit-agent object properties on the basis of the hybrid multi-agent situation assessment model,established the network structure for the situation reasoning. Thereby converted the situation reasoning problem to optimized search int the network.3.Proposed the use of evolutionary algorithm to solve the situation assessment issue with multiple objectives.For the problem of the situation assessment issue with single objectives, although some of the traditional search algorithms can be solved,but the efficiency of the algorithm is low when faced with the problem of multi-objective.Through combining the evolutionary algorithm and hybrid mulit-agent network,use of evolutionary algorithms to solve the situation reasoning issue with multiple objectives has a large advantage.This paper has shown the validity of the evolutionary algorithms to solve this situation problem through the emperiments.