Modeling Research on Decision-Making Strategies in Human-Computer and Human-Human Ultimatum Game

摘要

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. A general learning model was set up to determine whether and how subjects' choices were influenced by their previous selection and gains. The result showed that the subjects tended to choose the same object again after a win trial, and they tended to change their choice after a lose trial. The subjects would have applied different strategies when they faced human and computer respectively.