Analysis and simulate international relationship by using high-tech cluster of information technology is important and
meaningful to the modern research of strategic work and the strategic decision-making. This paper use Multi-Agents
system to model the international relationship with macrocosmic level and microcosmic level. For the microcosmic level
shows activities and the rules of correlative activities of countries, propose a reinforcement learning algorithm to
improve cooperative efficiency among agents, which based on common goal and joint rewards to insure agents to learn
cooperative behavior. A prototype and an experiment were given.
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