Horizontal cooperation under uncertainties in distributed expert systems

Chengqi Zhang, Yuefeng Li
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Abstract

A model of horizontal cooperation under uncertainty in distributed expert systems is presented. This model uses the synthesis of solutions under uncertainty and decision-making to fulfil horizontal cooperation. Firstly, a Boolean algebra is used in order to represent the solution synthesis hypothesis space in the model. Then, a generalization of evidence theory is used as a mathematical model to synthesize all conclusions which come from other expert systems. Finally, a competing mechanism is introduced to make the decisions.
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不确定条件下分布式专家系统的横向协作
提出了一种不确定条件下分布式专家系统的横向协作模型。该模型利用不确定性和决策下的综合解决方案来实现横向合作。首先,用布尔代数表示模型中的解综合假设空间。然后,利用证据理论的泛化作为数学模型,综合其他专家系统的所有结论。最后,引入竞争机制进行决策。
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