## 1 Introduction  
Basic income (BI) has gained considerable attention as a new method of delivering social welfare [1, 2], and empirical experiments and result analyses [3, 4] have been conducted on the subject. However, there are some negative views of BI. Standing summarizes thirteen representative negative opinions [2], the most common being the problem of reduced labor supply. In this view, it is assumed that providing money may cause idle people to stop working. There is much debate among proponents and detractors regarding BI and the willingness to work. Looking at the trends in this research, the studies that have analyzed previous demonstration experiments involving negative income taxes and subsequent fieldwork tended to generate more positive opinions. In contrast, the studies examining BI from the economic theory perspective tended to generate negative opinions. Although both approaches offer new insights, they also have problematic areas. Regarding the analyses of the demonstration experiments, it is possible that changes made at the planning stage may have altered the effectiveness of individual BI systems [5, 6] and caused phenomena such as the Hawthorne effect [7], with many questions about the social effects of large-scale implementation remaining unresolved [8]. At the same time, some argue that few theoretical approaches have been taken in the analyses based on economic theory [9], and there are examples where both negative and positive results have been derived [10]. For example, quantitative macroanalysis [11] and analysis using microsimulation [12] have produced conflicting results, such as a decrease in labor supply in one and no impact on labor supply in another [13]. Furthermore, the critique of BI in theoretical studies has been criticized by proponents as \"one-handed economics\" [2] that does not consider the feedback effects of BI. Summarizing the issues with both approaches, the research conducted on demonstration experiments cannot conclusively clarify the facts of full-scale implementation due to limitations in the subject scope and time constraints. Moreover, the theoretical studies have been unable to consider feedback from the effects of BI implementation. In particular, the theoretical approaches cannot encapsulate individual judgments and decisions about work motivation-related reactions in their models. An approach that would compensate for both of these problems is needed to conduct a full BI impact analysis because BI is an exogenous macroeconomic phenomenon that involves a massive change in the distribution channels of funds. Another reason is that the macrophenomenon involves changes in individual work incentives and feedback from interactions with surrounding stakeholders, as observed in demonstration experiments. Furthermore, regarding these interactions, there is a chance of double or triple feedback occurring where changes in household budgets affect firms' production and investment, which can in turn influence household budgets. Therefore, any impact analysis of BI requires a modeling approach that (1) can mimic the impact on the overall social system to the greatest extent possible; (2) can analyze the economic feedback that occurs when BI is implemented over time; and (3) can allow for a behavioral economic setting for individual household budget decision making. Agent-based modeling (ABM) provides an effective approach to this type of modeling. This study aims to construct an agent-based computational economics (ACE) model with a fully functional circulation of funds between households and firms that can be used to analyze emergent macroeconomic phenomena. It then seeks to use this model to analyze the impact of changes in labor supply caused by the effects of the implementation of BI on the economic system. The simulation results show that by assuming some reduction in the willingness to work and a common change function for work motivation, BI would increase society's overall well-being with more households consuming more goods.