This project aims at developing the agent-based simulation and analyzing the complicated dynamical behavior to understand the realistic economic and social interaction from the viewpoint of agents. 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. We developed a simple JavaTM framework to implement various applications of the agent-based simulation effectively. Using this framework, we are considering three applications: a commodities market, a dynamic online auction, and international greenhouse gas emissions trading.
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