Study on Game Theory in Decision Interaction for Multi Intelligent Agents Based on Information Fusion
Maixia Fu · 2013
Variation tendency of situation needs to be perceived and predicted in a high level data fusion process.Because variation tendency of situation of a interaction system combined by multi intelligent agent is pushed forward by their respective decision process,pure probability and evidence theory are not satisfying available tools for this type of prediction.For these prediction,game theory can provide preferable decision and recognition,and is a tools of Process Planning.By combining influence diagrams with game theory,we proposed a new architecture—Bayesian Game Model for decision support to enhance capability of the awareness and prediction for a complex situation caused by multi interactive intelligent agents.Through a case,we explained the effect of the policymakers' game strategies on situation assessment and gave the case's Bayesian game model.The model and method proposed in the paper overcome the disadvantage of traditional method that neglects subjective factors,and might offer a new way to situation assessment with game feature.