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摘要翻译：
智能代理为理解工作世界提供了一种新的令人兴奋的方式。基于Agent的仿真(ABS)是智能Agent的一种使用方式，它对提高我们对管理实践以及它们如何与零售绩效联系的理解具有很大的潜力。我们基于经济学家、工作心理学家和计算机科学家的多学科团队的研究开发了模拟模型。我们将讨论我们与一家知名零售百货公司合作实施这些概念的经验。毫无疑问，管理实践与组织的绩效相关联（Reynolds et al.，2005；Wall&Wood，2005)。已经制定了最佳做法，但当涉及到这些准则的实际应用时，它们在特定情况下的有效性仍然存在相当大的模糊性（Siebers等人，即将到来的a）。大多数运筹学(OR)方法只有在管理实践得到实施后才能作为分析工具使用。通常，它们对于回答推测性的“假设”问题不太有用，尤其是当一个人对系统随时间的发展而不是只对系统在某个时间点的状态感兴趣时。仿真可以用来分析动态和随机系统的运行。当系统实体之间存在复杂的交互时，如自主决策或协商时，ABS特别有用。在一个ABS模型中，研究者在微观层次上明确地描述了模拟行为者的决策过程。结构在宏观层次上出现，是主体的行为及其与其他主体和环境的相互作用的结果。3我们将展示ABS实验如何处理测试和优化管理实践，如培训、授权或团队合作。因此，诸如“员工设置自己的休息时间会提高绩效吗？”可以被调查。
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英文标题：
《Multi-Agent Simulation and Management Practices》
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作者：
Peer-Olaf Siebers, Uwe Aickelin, Helen Celia, Chris Clegg
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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：Computational Engineering, Finance, and Science 计算工程、金融和科学
分类描述：Covers applications of computer science to the mathematical modeling of complex systems in the fields of science, engineering, and finance. Papers here are interdisciplinary and applications-oriented, focusing on techniques and tools that enable challenging computational simulations to be performed, for which the use of supercomputers or distributed computing platforms is often required. Includes material in ACM Subject Classes J.2, J.3, and J.4 (economics).
涵盖了计算机科学在科学、工程和金融领域复杂系统的数学建模中的应用。这里的论文是跨学科和面向应用的，集中在技术和工具，使挑战性的计算模拟能够执行，其中往往需要使用超级计算机或分布式计算平台。包括ACM学科课程J.2、J.3和J.4（经济学）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：
Intelligent agents offer a new and exciting way of understanding the world of work. Agent-Based Simulation (ABS), one way of using intelligent agents, carries great potential for progressing our understanding of management practices and how they link to retail performance. We have developed simulation models based on research by a multi-disciplinary team of economists, work psychologists and computer scientists. We will discuss our experiences of implementing these concepts working with a well-known retail department store. There is no doubt that management practices are linked to the performance of an organisation (Reynolds et al., 2005; Wall & Wood, 2005). Best practices have been developed, but when it comes down to the actual application of these guidelines considerable ambiguity remains regarding their effectiveness within particular contexts (Siebers et al., forthcoming a). Most Operational Research (OR) methods can only be used as analysis tools once management practices have been implemented. Often they are not very useful for giving answers to speculative 'what-if' questions, particularly when one is interested in the development of the system over time rather than just the state of the system at a certain point in time. Simulation can be used to analyse the operation of dynamic and stochastic systems. ABS is particularly useful when complex interactions between system entities exist, such as autonomous decision making or negotiation. In an ABS model the researcher explicitly describes the decision process of simulated actors at the micro level. Structures emerge at the macro level as a result of the actions of the agents and their interactions with other agents and the environment. 3 We will show how ABS experiments can deal with testing and optimising management practices such as training, empowerment or teamwork. Hence, questions such as "will staff setting their own break times improve performance?" can be investigated.
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PDF链接：
https://arxiv.org/pdf/1003.3767
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