Multi-Attribute Decision Making in a Bidding Game with Imperfect Information and Uncertainty

摘要: Human preferences or attitudes towards risk should play a vital role in decision making task with imperfect information and uncertain outcomes. We introduce method to characterize human how they are integrated into the process of complex probability-based card bidding game. When assessing preferences, utility-to-preference (UP) function is devised for easier mapping between much player willing bid. Using developed approach, we can better identify different their interaction affect game focus on highly addictive poker that has become multi-billion dollar internet business. The was evaluated through data obtained from two makers (DMs) expertise. designed automated Monte Carlo simulation. results show multi-attributes lead profit further serve as basis vulnerable populations1 socio-technical online