@Article{endriss06b,
  author =	 {Ulle Endriss and Nicolas Maudet and Fariba Sadri and
                  Francesca Toni},
  title =	 {Negotiating Socially Optimal Allocations of
                  Resources},
  journal =	 {Journal of Artificial Intelligence Research},
  volume =	 25,
  pages =	 {315--348},
  year =	 2006,
  abstract =	 {A multiagent system may be thought of as an
                  artificial society of autonomous software agents and
                  we can apply concepts borrowed from welfare
                  economics and social choice theory to assess the
                  social welfare of such an agent society. In this
                  paper, we study an abstract negotiation framework
                  where agents can agree on multilateral deals to
                  exchange bundles of indivisible resources. We then
                  analyse how these deals affect social welfare for
                  different instances of the basic framework and
                  different interpretations of the concept of social
                  welfare itself. In particular, we show how certain
                  classes of deals are both sufficient and necessary
                  to guarantee that a socially optimal allocation of
                  resources will be reached eventually.},
  keywords = 	 {multiagent negotiation},
  url = 	 {http://jmvidal.cse.sc.edu/library/endriss06b.pdf},
  googleid = 	 {Ocj0yrERNO0J:scholar.google.com/},
  cluster = 	 {17092305941089798201}
}