摘要翻译：
在我们的研究中，我们研究了离散事件仿真模型和基于agent的仿真模型在研究以人为中心的复杂系统时的输出精度。在本文中，我们关注的是人的反应行为，因为这两种建模方法都有可能通过使用标准方法在模型中实现人的反应行为。作为一个案例研究，我们选择了零售业，特别是英国一家大型百货公司女装部试衣间的运营。在我们的案例研究中，我们通过模拟部门员工和顾客的反应行为，研究如何确定试衣间业务实施新管理政策的效率。首先，我们进行了一个验证实验，将模型的结果与实际系统的性能进行了比较。这个实验还允许我们确定两种建模方法在输出精度上的差异。在第二步中，进行了一个多场景实验，以研究模型用于改进操作时的行为。总的来说，我们发现，对于我们的案例研究例子，离散事件模拟和基于agent的模拟都有同样的潜力来支持对实施新管理策略的效率的研究。
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英文标题：
《Comparing Simulation Output Accuracy of Discrete Event and Agent Based
  Models: A Quantitive Approach》
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作者：
Mazlina Abdul Majid, Uwe Aickelin, Peer-Olaf Siebers
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最新提交年份：
2010
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分类信息：

一级分类：Computer Science        计算机科学
二级分类：Artificial Intelligence        人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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一级分类：Computer Science        计算机科学
二级分类：Multiagent Systems        多智能体系统
分类描述：Covers multiagent systems, distributed artificial intelligence, intelligent agents, coordinated interactions. and practical applications. Roughly covers ACM Subject Class I.2.11.
涵盖多Agent系统、分布式人工智能、智能Agent、协调交互。和实际应用。大致涵盖ACM科目I.2.11类。
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英文摘要：
  In our research we investigate the output accuracy of discrete event simulation models and agent based simulation models when studying human centric complex systems. In this paper we focus on human reactive behaviour as it is possible in both modelling approaches to implement human reactive behaviour in the model by using standard methods. As a case study we have chosen the retail sector, and here in particular the operations of the fitting room in the women wear department of a large UK department store. In our case study we looked at ways of determining the efficiency of implementing new management policies for the fitting room operation through modelling the reactive behaviour of staff and customers of the department. First, we have carried out a validation experiment in which we compared the results from our models to the performance of the real system. This experiment also allowed us to establish differences in output accuracy between the two modelling methids. In a second step a multi-scenario experiment was carried out to study the behaviour of the models when they are used for the purpose of operational improvement. Overall we have found that for our case study example both discrete event simulation and agent based simulation have the same potential to support the investigation into the efficiency of implementing new management policies.
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PDF链接：
https://arxiv.org/pdf/1001.2170