Agent-Based Social Simulation as Novel Method for Economics

摘要

In this paper, agent-based social simulation is introduced as an application of computer science to social science, especially economics. Social and economic activities are modeled as interactions of the agents that behave like individuals in the artificial society. Cognitive, psychological, and value-making process, which were not incorporated in conventional economics, are introduced to the economic model. Two simulations, "bubbles and crashes" and "winner-take-all market," are introduced as illustrations of the agent-based analyses. In conclusion, the agent-based simulation model is useful to understand the dynamics of market. The results also show the possibility for a novel forecast technique, which combines the macroscopic and the microscopic dynamics of economy.