Abstract for: Fuzzy Logic Approach to Mimic Decision Making Behavior of Humans in Stock Management Game
System Dynamics methodology aims to model real complex dynamic systems for understanding them and coming up with policies to change the problematic dynamic behavior. In most of the dynamic systems of interest, humans play an important role. Hence, human behavior modeling is one of the goals of System Dynamics. This paper proposes Fuzzy Logic as a new tool to model human behavior. The paper uses the existing data from an experimental study on Stock Management Model and comes up with Fuzzy Logic players to mimic the behaviors of three different types of players. We believe that Fuzzy Logic will be useful in modeling decision making behavior as it also gives an understanding of why humans decide as they do which is in consensus with System Dynamics modeling.