基于Agent的店内顾客体验仿真
An Agent-Based Simulation of In-Store Customer Experiences
摘要：
基于代理的建模和仿真提供了一种新的和令人兴奋的方式来理解工作世界。在本文中，我们描述了一个基于代理的仿真模型，旨在帮助了解人力资源管理实践和零售生产力之间的关系的发展。我们报告我们的模拟模型，其中包括新的功能，随着时间的推移客户的演变，目前的发展。为了测试其中的一些功能，我们进行了一系列实验，涉及客户池大小、标准和降噪模式以及口碑传播。我们的多学科研究团队借鉴了工作心理学家和计算机科学家的专业知识。尽管我们正在一个相对新颖和复杂的领域中工作，但很明显，智能代理为未来培养可持续的组织能力提供了潜力。
英文摘要：
Agent-based modelling and simulation offers a new and exciting way of understanding the world of work. In this paper we describe the development of an agent-based simulation model, designed to help to understand the relationship between human resource management practices and retail productivity. We report on the current development of our simulation model which includes new features concerning the evolution of customers over time. To test some of these features we have conducted a series of experiments dealing with customer pool sizes, standard and noise reduction modes, and the spread of the word of mouth. Our multi-disciplinary research team draws upon expertise from work psychologists and computer scientists. Despite the fact we are working within a relatively novel and complex domain, it is clear that intelligent agents offer potential for fostering sustainable organisational capabilities in the future.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
