@Book{tumer04a,
  editor =	 {Kagan Tumer and David Wolpert},
  title =	 {Collectives and the Design of Complex Systems},
  publisher =	 {SPringer},
  year =	 2004,
  abstract =	 {With the advent of extremely affordable computing
                  power, the world is becoming filled with distributed
                  systems of computationally sophisticated
                  components. However, no current scientific
                  discipline offers a thorough understanding of the
                  relation of such "collectives" and how well they
                  meet performance criteria. Collectives and Design of
                  Complex Systems lays the foundation for the study of
                  collective intelligence and how these entities can
                  be developed to yield optimal performance. Part one
                  describes how some information-processing problems
                  can only be solved by the joint actions of large
                  communities of computers, each running their own
                  complex, decentralized machine-learning
                  algorithms. Part two offers general analysis on the
                  dynamics and structures of collectives. Finally,
                  part three addresses economic, model-free, and
                  control-theory approaches to designing these complex
                  systems. The work assumes a modest understanding of
                  basic statistics and calculus. Integrates theory
                  with real-world practice.},
  keywords = 	 {multiagent learning complexity},
  isbn = 	 {0387401652},
  googleid = 	 {cx0h0fzYb7YJ:scholar.google.com/},
  googleprint =  {O-Xw23-eOWAC},
  cluster = 	 {13145964417669733747}
}