Skip to main content
Open Access Publications from the University of California

Network formation by reinforcement learning: The long and medium run

  • Author(s): Pemantle, R
  • Skyrms, B
  • et al.

We investigate a simple stochastic model of social network formation by the process of reinforcement learning with discounting of the past. In the limit, for any value of the discounting parameter, small, stable cliques are formed. However, the time it takes to reach the limiting state in which cliques have formed is very sensitive to the discounting parameter. Depending on this value, the limiting result may or may not be a good predictor for realistic observation times. © 2004 Elsevier B.V. All rights reserved.

Many UC-authored scholarly publications are freely available on this site because of the UC Academic Senate's Open Access Policy. Let us know how this access is important for you.

Main Content
Current View