## 2 Prior Research and the Positioning of This Study
The relationship between BI and labor supply is a complex interactive event in which human psychology and behavior are influenced by the surrounding environment. Experimental economies are effective methods for the creation of events in which to explore actual human psychological trends, while computer simulations that reproduce human society are effective for the analysis of large-scale social effects. Experiments have been attempted in experimental economies on the impact of distributional systems on labor supply [34], on the impact of the willingness to work based on gift exchange games [35], and on risky investment behavior [9]. These studies have indicated that BI does not decrease work motivation or reduce risk behavior. However, [PERSON]'s experiment [34] decreases universal BI as a final labor outcome. Other studies using ABM have been conducted besides the aforementioned microsimulations [11; 12; 13]. ABM is a modeling approach in which an autonomous decision-makingentity (agent) acts according to its own internal conditions. This allows the analysis of emergent phenomena resulting from interactions with other entities and the surrounding environment. ABM is a research method that can analyze economic behavior in laboratory experiments [36], handle a wider range of nonlinear movements than conventional models that rely on equilibrium assumptions [37], bridge the micro-macro gap [38], and serve as a new tool for modeling and empirical analysis [39]. Therefore, the strengths of ABM lie in the modeling of detailed individual micro-decision making that leads to the creation of macrophenomena through feedback, as with innovation diffusion [40; 41; 42; 43]. In particular, economic matters have been focused on since the 2007 financial crisis [44], and ABM is now being used as an alternative to the dynamic stochastic general equilibrium model [45; 46; 47]; the latter was the primary analytical tool of mainstream economics, but it has not proven to be sufficiently robust. These characteristics make ABM an effective tool for analyzing the impact of BI [27]. There have been comparisons between unemployment compensation and BI using agent-based modeling (ABM) [26], the analysis of degrowth societies considering asymmetric actors [48], the impact analysis of BI on food access from the poor to the wealthy [49], studies comparing poverty benefits, and studies comparing BI with childcare assistance and other programs [50]. While most of the researchers have taken a positive view of the impact of BI, [PERSON] concluded that unemployment insurance is a better policy option because BI results in more people quitting the labor force, and [PERSON] called for BI to help with the need to reduce the labor supply for the purpose of degrowth. These experiments have either focused only on the outcomes and their aggregation for the target households alone or, even when they take a macro perspective, only on the employment situation and costs over a short period of time. BI represents not only a major change in finances and a major impact on individual decision making but also a change that has a significant mutual impact from micro to macro because the emergence of these decisions affects society as a whole and feeds back to the individual and into finance. Considering BI from this perspective, both the negative and the positive opinions show different dimensions. If, as BI's detractors argue, a decline in work motivation reduces the labor force, this could reduce the productive capacity of society as a whole and lower the supply of goods. This decline in the productive capacity of society as a whole could worsen economic conditions, reduce tax revenues, and make it impossible to continue BI. However, firms may take measures to address the decline in work motivation, such as automating production and increasing incentives through higher salaries. In addition, the shortage of goods may lead to higher goods prices, and households may be required to work to make ends meet with a reduced motivation to work.