Network Formation and Reward Functions

  • Marco Slikker
  • Anne Van Den Nouweland
Part of the Theory and Decision Library book series (TDLC, volume 27)


In the last chapter of this book, we consider questions related to the formation of networks in cases where a reward function gives the value of each network. As we saw in section 4.5, reward functions allow us to model situations in which the value that can be obtained by a group of players does not depend solely on whether they are connected or not, but also on exactly how they are connected to each other.


Network Formation Optimal Network Allocation Rule Reward Function Strong Stability 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media New York 2001

Authors and Affiliations

  • Marco Slikker
    • 1
  • Anne Van Den Nouweland
    • 2
  1. 1.Technische Universiteit EindhovenThe Netherlands
  2. 2.University of OregonUSA

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