Implementation issues in a grid-based multi-agent simulation system used for increasing labor supply

This paper describes issues of implementation for a Grid-based multi-agent simulation used to support decision-makers in making their decisions. Recently, social scientists including sociologists, economists, and social psychologists, have become interested in large- scale multi-agent simulation. However, users who are not familiar with operating large-scale computing resources may have a difficult time implementing these simulations. Therefore, the authors have developed a computing environment with a task-control support framework for a day care center allocation problem. In addition, we show how to implement the Grid-based multi-agent simulation system. In this paper, we examine the effectiveness of the proposed system using experiments with human subjects. By using the proposed prototype system, decision-makers were able to find near optimal solutions without examining all possible tasks.