@Article{jennings00a,
  author = 	 {Nick R. Jennings and T. J. Norman and Peyman Faratin and P. O'Brien and B. Odgers},
  title = 	 {Autonomous Agents for Business Process Management},
  journal = 	 {International Journal of Applied Artificial Intelligence},
  year = 	 2000,
  volume =	 14,
  number =	 2,
  pages =	 {145--189},
  abstract = 	 {Traditional approaches to managing business
                  processes are often inadequate for large-scale,
                  organisation-wide, dynamic settings. However since
                  Internet and Intranet technologies have become
                  widespread, an increasing number of business
                  processes exhibit these properties. Therefore a new
                  approach is needed. To this end, we describe the
                  motivation, conceptualisation, design and
                  implementation of a novel agent-based business
                  process management system. The key advance of our
                  system is that responsibility for enacting various
                  components of the business process is delegated to a
                  number of autonomous problem solving agents. To
                  enact their role, these agents typically interact
                  and negotiate with other agents in order to
                  coordinate their actions and to buy in the services
                  they require. This approach leads to a system that
                  is significantly more agile and robust than its
                  traditional counterparts. To help demonstrate these
                  benefits, a companion paper describes the
                  application of our system to a real-world problem
                  faced by British Telecom.},
  keywords =     {multiagent workflow},
  googleid = 	 {X9qkw0h-dlYJ:scholar.google.com/},
  url = 	 {http://jmvidal.cse.sc.edu/library/jennings00a.pdf},
  cluster = 	 {6230305985498765919} 
}