A programming environment for multi agent simulation based on graph representation

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.