The Game Theory Research for Human-Computer and Human-Human

Game theory provides a solution to the problem of finding a set of optimal decision-making strategies in a group. However, people seldom play such optimal strategies and adjust their strategies based on their experience. In this paper, the game theory research of human-computer and human- human were investigated, and the ultimatum game was used in the experiment. The game theory of human-computer random, human- computer intelligent, human-computer (human) and human-human were investigated in detail. We found that the ERPs of proposer were significantly more negative on trials when decision maker chose the disagreement project compared with ERPs of proposer when decision maker chose the agreement project, there is obvious FRN at about 250ms.