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A Multi-Agent Simulation for Social Agents

机译:社交代理的多智能体仿真

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摘要

Agent-based modeling of human social behavior is an increasingly important research area. Many fully functional multi-agent systems have been developed and have been put to use over the years. But efficient scalable and robust social systems are difficult to engineer, both from the modeling perspective and the implementation perspective. There exist three important difficulties. First, the system needs to have an adaptable agent framework that can successfully make intuitive and deliberative decisions much like a real social participant would. Secondly, the system must have a robust architecture that not only ensures its functioning no matter the simulation, but also provides an easily understood interface that researchers can interact with while running their simulations. Finally, the system must be effectively distributed to handle the necessary number of agents that social research requires to obtain meaningful results. This paper presents our work on creating a multi-agent simulation for social agents that would overcome these three difficulties. Lastly, we present a simulation to test the system and provide the results of that simulation.
机译:基于代理的人类社会行为建模是一个日益重要的研究领域。多年来,已经开发出许多功能齐全的多代理系统并投入使用。但是,无论是从建模角度还是从实现角度来看,高效的可扩展性和健壮的社交系统都难以设计。存在三个重要的困难。首先,系统需要有一个适应性强的代理框架,该框架可以像真正的社交参与者一样成功地做出直观和深思熟虑的决策。其次,该系统必须具有一个健壮的体系结构,该体系结构不仅可以确保无论模拟如何都能正常运行,而且还提供了易于理解的界面,研究人员可以在运行模拟时与之交互。最后,必须有效分配系统,以处理社会研究获得有意义结果所需的必要数量的代理。本文介绍了我们为社交代理创建多代理仿真的工作,该仿真将克服这三个难题。最后,我们提供了一个仿真来测试系统并提供仿真结果。

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