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Least Square Approximations and Linear Values of Cooperative Games

  • Ulrich Faigle
  • Michel GrabischEmail author
Chapter
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Part of the Studies in Computational Intelligence book series (SCI, volume 878)

Abstract

Many important values for cooperative games are known to arise from least square optimization problems. The present investigation develops an optimization framework to explain and clarify this phenomenon in a general setting. The main result shows that every linear value results from some least square approximation problem and that, conversely, every least square approximation problem with linear constraints yields a linear value. This approach includes and extends previous results on so-called least square values and semivalues in the literature. In particular, it is demonstrated how known explicit formulas for solutions under additional assumptions easily follow from the general results presented here.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Mathematisches InstitutUniversität zu KölnKölnGermany
  2. 2.Paris School of EconomicsUniversity of Paris IParisFrance

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