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Project Based Learning with Multi-agent Simulation in Liberal Arts Education

机译:人文教育中基于项目的学习与多智能体仿真

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摘要

Complexity science is a new field of science that help us to understand complex social phenomenon such as economies, traffics, wars, epidemics, mass actions, etc. On the other hand, multi-agents simulation (MAS) methods are useful and powerful tools for complex system science. They come to be applied to studies and analysis of complex systems along with the development of computers. It can be said that the perspectives of complex systems and the skills for MAS are very useful knowledge for students who should live and work in the complex modern society. Then the author tried to design and conduct an education program dealing with complex system science and MAS as liberal arts targeting at students from all faculties. It's a project-based learning program in which students investigated and discussed "What is complex systems?" and develop MAS. In general, it is difficult for students who haven't gained the any special knowledge of computing to build MAS. Then the author applied the generic multi-agent simulation platform "artisoc" to this program. With artisoc, students can build MAS easily. In this paper, the practical example of PBL program with artisoc and its result are introduced.
机译:复杂性科学是一门新兴的科学领域,可帮助我们理解复杂的社会现象,例如经济,交通,战争,流行病,大规模行动等。另一方面,多主体仿真(MAS)方法是有用且功能强大的工具,可用于复杂系统科学。它们将随着计算机的发展而应用于复杂系统的研究和分析。可以说,对于应该在复杂的现代社会中生活和工作的学生来说,复杂系统的观点和MAS技能是非常有用的知识。然后,作者尝试设计和实施针对复杂系统科学和MAS作为人文学科的教育计划,针对所有系的学生。这是一个基于项目的学习计划,学生可以在其中研究和讨论“什么是复杂系统?”。并发展MAS。通常,对于尚未获得计算机专业知识的学生来说,构建MAS十分困难。然后,作者将通用的多代理程序仿真平台“ artisoc”应用于该程序。借助artisoc,学生可以轻松构建MAS。本文介绍了使用artisoc的PBL程序的实例及其结果。

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