A programming environment for multi agent simulation based on graph representation

Gou Hatakeyama, Keishi Kimura, M. Akiyoshi, N. Komoda
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引用次数: 1

Abstract

We propose a programming environment that helps us to develop program codes for multi agent simulation. Recently, there are various proposals on tool for multi agent simulation. However, in every simulation tool, analysts who don't have programming skill spend a lot of time to develop programs because notation of simulation models is not defined sufficiently and programming language is different by tools. So, we propose a programming environment which defines the notation of simulation model based on graph representation and enables analysts to develop programs more efficiently by using ease-of-use interface. Analysts get easier to develop programs by automatically generating program codes of multi agent simulation tool. Moreover, when analysts have to set orders of calculation in programming codes, this programming environment supports setting order of calculation which cannot be derived from structural information of simulation model. We execute the experiment that two examinee write and modify a program code. The experimental result shows the time of program coding by this programming environment is shorter than the time by text editor.
基于图表示的多智能体仿真编程环境
我们提出了一个编程环境,帮助我们开发多智能体仿真的程序代码。近年来,人们对多智能体仿真工具提出了各种各样的建议。然而,在每一种仿真工具中,由于仿真模型的符号没有充分定义,并且不同工具的编程语言不同,没有编程技能的分析人员花费大量时间开发程序。因此,我们提出了一种基于图形表示的编程环境,该环境定义了仿真模型的符号,并通过使用易于使用的界面使分析人员能够更有效地开发程序。通过多智能体仿真工具自动生成程序代码,使分析人员开发程序变得更加容易。此外,当分析人员需要在编程代码中设置计算顺序时,该编程环境支持无法从仿真模型的结构信息中获得的计算顺序的设置。我们进行了两名考生编写和修改程序代码的实验。实验结果表明,该编程环境比文本编辑器的编程时间要短。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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