Vidal's library
Title: Scaling Up Agent Coordination Strategies
Author: Edmund H. Durfee
Journal: IEEE Computer
Volume: 34
Number: 7
Year: 2001
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.

Cited by 35  -  Google Scholar

@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}
}
Last modified: Wed Mar 9 10:15:00 EST 2011