基于分布式鱼病诊断的思想，结合多Agent技术的智能性、自治性、协作性的优异性能以及分布式计算能力，构建基于MAS的分布式鱼病诊断专家系统的体系结构，克服了单一领域专家的局限性，实现跨区域的协同诊断。针对各鱼病诊断专家的分布式区域管理的特点，改进传统的合同网模型，设计一种分布式鱼病诊断的任务分配机制，并通过实验证明了该任务分配的有效性，同时提高了任务分配的效率，增加了鱼病诊断结果的精确性。%Based on the idea of distributed fish disease diagnosis,in this paper we build the architecture of the MAS-based distributed fish disease diagnosis expert system in combination with the outstanding performance of multi-agent technology in intelligence,autonomy and collaborative property as well as its distributed computing capability.It overcomes the limitations of single domain experts,and can also realise the cross-regional collaborative diagnosis.In this paper,in light of the characteristics of the distributed regional management on fish disease diagnosis experts,we improve the traditional contract net model and design a distributed task allocation mechanism for fish disease diagnosis.Through the experiments we prove the effectiveness of the task allocation,and at the same time the efficiency of task allocation is improved,and the accuracy of fish disease diagnostic results is increases as well.
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