摘要翻译：
近年来，发达国家的产业相对构成发生了明显的变化；制造业正在减少，而服务业变得更加重要。然而，目前大多数研究服务系统的仿真模型仍然采用与制造仿真模型相同的方法，使用面向过程的世界观，即对被动实体通过系统的流动进行建模。这些类型的模型允许研究运营管理的各个方面，但不太适合于研究由于人类行为而出现在服务系统中的动态。对于这些类型的研究，我们需要能够使用面向对象的世界观来建模系统和实体的工具，在这种世界观中，智能对象作为抽象的“参与者”是目标导向的，可以主动地行为。在我们的工作中，我们将面向过程的离散事件仿真建模和基于面向对象agent的仿真建模相结合，研究人员管理实践对零售生产率的影响。在本文中，我们通过一系列的实验，揭示了考虑主动性对以人为中心的系统的仿真模型输出精度的影响。我们用于本次调查的模型和数据是基于一个英国百货公司的案例研究。我们表明，考虑积极主动积极地影响这些类型的模型的有效性，因此允许分析人员提出更好的建议，关于应用人员管理实践的策略。
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英文标题：
《A First Approach on Modelling Staff Proactiveness in Retail Simulation
  Models》
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作者：
Peer-Olaf Siebers, Uwe Aickelin
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最新提交年份：
2011
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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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英文摘要：
  There has been a noticeable shift in the relative composition of the industry in the developed countries in recent years; manufacturing is decreasing while the service sector is becoming more important. However, currently most simulation models for investigating service systems are still built in the same way as manufacturing simulation models, using a process-oriented world view, i.e. they model the flow of passive entities through a system. These kinds of models allow studying aspects of operational management but are not well suited for studying the dynamics that appear in service systems due to human behaviour. For these kinds of studies we require tools that allow modelling the system and entities using an object-oriented world view, where intelligent objects serve as abstract "actors" that are goal directed and can behave proactively. In our work we combine process-oriented discrete event simulation modelling and object-oriented agent based simulation modelling to investigate the impact of people management practices on retail productivity. In this paper, we reveal in a series of experiments what impact considering proactivity can have on the output accuracy of simulation models of human centric systems. The model and data we use for this investigation are based on a case study in a UK department store. We show that considering proactivity positively influences the validity of these kinds of models and therefore allows analysts to make better recommendations regarding strategies to apply people management practises.
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PDF链接：
https://arxiv.org/pdf/1108.3019