Web服务选择中基于代理的建模与仿真

Jebrin Al-Sharawneh, Mary-Anne Williams
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引用次数: 8

摘要

基于智能体的建模与仿真(ABMS)是一种对由自主交互的智能体组成的系统进行建模的新方法。它有望在研究和教育方面发挥重要作用。一些研究人员认为,ABMS是“研究科学的第三种方式”。ABMS已广泛应用于各种复杂领域问题的研究。社会模拟在当今相互联系的社会中扮演着越来越重要的角色。在本文中,我们应用基于代理的建模和仿真来研究Goldbaum在社交网络中创新的“跟随领导者”在web服务选择中的影响,使用推荐系统来引导用户选择符合其需求和偏好的最佳服务。我们使用我们的模拟工具“SSSS:服务选择模拟工作室”来测试和评估几个客户的行为场景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ABMS: Agent-Based Modeling and Simulation in Web Service Selection
Agent-based modeling and simulation (ABMS) is a new approach to modeling systems comprised of autonomous interacting agents. It promises to have an important role in research and education. Some researchers have contended that ABMS "is a third way of doing science". ABMS has been applied to a wide range of research in a varied number of complex domain problems. Social simulation is playing an increasingly important role in today's interconnected society. In this paper we apply agent based modeling and simulation to investigate the impact of Goldbaum's innovative "Follow the Leader" in social networks in web services selection using a recommender system that guides a user to select the best service that matches his requirements and preferences. We test and evaluate several customers' behaviors scenarios using our simulation tool "SSSS: Service Selection Simulation Studio".
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