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Distributed Evaluation Using Multi-agents

机译:使用多主体进行分布式评估

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摘要

Evaluation of systems, synthetic environments and human performance are generally complicated and time-consuming tasks. Existing evaluation systems are domain dependent and don't provide explanation on how the system reaches the evaluation results. Expertise is needed for evaluation process. Defining a model or a methodology, which simplifies and models the evaluation knowledge and speeds up the evaluation process, can obviously save cost, time and provide reusability. In this study, a knowledge representation of evaluation, which can also be used in distributed environments, was developed to handle the heuristic knowledge of experts from different domains and information from different sources for evaluation purposes. The evaluation knowledge was represented as reference model of evaluation objectives, production rules, evaluation measures, methods and parameters. Using of multiagents is proposed for evaluation in distributed environments. Different types of multi-agent organizations can be designed and developed. Multi-agents can simplify the evaluation process and reduce network traffic in distributed environments and decrease security problems among the network.
机译:系统,综合环境和人员绩效的评估通常是复杂且耗时的任务。现有的评估系统依赖于域,并且不提供有关系统如何获得评估结果的解释。评估过程需要专业知识。定义模型或方法可以简化评估知识并对其建模,并加快评估过程,可以明显节省成本,时间并提供可重用性。在本研究中,开发了一种评估的知识表示形式(也可以在分布式环境中使用),以处理来自不同领域的专家的启发式知识以及来自不同来源的信息以进行评估。评估知识代表评估目标,生产规则,评估措施,方法和参数的参考模型。提出使用多代理来在分布式环境中进行评估。可以设计和开发不同类型的多主体组织。多主体可以简化评估过程,减少分布式环境中的网络流量,并减少网络之间的安全性问题。

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