Agent-Based Simulation for Economic and Environmental Studies

Abstract

The need for new theoretical and experimental approaches to understand dynamic and heterogeneous behavior in complex economic and social systems is increasing. Computational simulation with dynamically interacting heterogeneous agents is expected to be able to reproduce complex phenomena in economics,and helps us to experiment with various controlling methods,to evaluate systematic designs,and to extract the fundamental elements which produce the interesting phenomena in depth analysis. To implement various applications of the agent-based simulation effectively,we have developed a simple framework. We also consider a new application of agent-based simulation for an environmental study and implement a preliminary simulation model of the international greenhouse gas (GHG) emissions trading.