@Article{durfee01a,
  author =	 {Edmund H. Durfee},
  title =	 {Scaling Up Agent Coordination Strategies },
  googleid =	 {sN_dJjBQJxkJ:scholar.google.com/},
  journal =	 {{IEEE} Computer},
  year =	 2001,
  volume =	 34,
  number =	 7,
  abstract =	 {Exactly what an intelligent agent is and in what
                  sense a computational agent can behave intelligently
                  remain the subjects of considerable debate. However,
                  most researchers and developers would agree that
                  coordination is an intelligent agent's central
                  concern. Without coordination, agents can
                  unintentionally waste their efforts, squander
                  resources, or fail to accomplish objectives that
                  require collective effort. Advances in
                  agent-oriented software engineering make it possible
                  to develop complex, distributed systems, but the
                  component agents must be able to act and interact
                  flexibly. Characterizing agent population
                  properties, their task environments, and their
                  collective behavior are key to understanding the
                  capabilities and limitations of coordination
                  strategies that support flexible component agent
                  interaction. Researchers face the challenge of
                  developing a better-- preferably
                  quantifiable--understanding of exactly how far
                  different strategies can scale along the dimensions
                  required to apply intelligent agent systems to
                  increasingly challenging problems.},
  url =		 {http://jmvidal.cse.sc.edu/library/r7039.pdf},
  cluster = 	 {1812505542780641200}
}