Many real life situations can be modeled as Prisoner's Dilemma. There are various strategies in the literature. However, few of which match the design objectives of an in- telligent agent - being reactive and pro-active. In this paper, we incorporate risk attitude and reputation into infinitely re- peated games. In this way, we find that the original game matrix can be transformed to a new matrix, which has a kind of cooperative equilibrium. We use the proposed con- cepts to analyze the Iterated Prisoner's Dilemma. Simula- tion also shows that agents, which consider risk attitude and reputation in the decision-making process, have improved performance and are reactive as well as pro-active.