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.

This is the whole item.

Date created

• 2008 July 20-2008 July 24

Type

• Document

Processing Activity

• Processing documentation available at: https://wiki.albany.edu/display/SCA/Processing+Ingested+Digital+Files

License

• Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International

  
  Contact Us for questions or additional rights.

ITEM CONTEXT

Part of

6cbae5a21467df4434abbc87da443217

Scope and Contents

Part of

ce498623f0349395d0a141a0525190a0

Scope and Contents

Part of

23d738ba88f8333bc39725f9cb5bd0b8

Scope and Contents

Collection

System Dynamic Society Records

Scope and Contents

Collecting area

• This collection is part of the University Archives