Satisficing the Masses: Applying Game Theory to Large-Scale, Democratic Decision Problems

ACT We present ongoing research on large-scale decision models in which there are many invested individuals. We apply our unique Bayesian belief aggregation approach to decision problems, taking into consideration the beliefs and utilities of each individual. Instead of averaging all beliefs to form a single consensus, our aggregation approach allows divergence in beliefs and utilities to emerge. In decision models this divergence has implications for game theory

• Type: Conference
• Year: 2009
• Where: CSE
• Authors: Kshanti A. Greene, Joe Michael Kniss, George F. Luger, Carl R. Stern
• Keywords: Aggregation Approach, CSE 2009, Decision Model, Decision Problem, Theoretical Computer Science