@Article{singh99a,
  author = 	 {Munindar P. Singh and Michael P. Huhns},
  title = 	 {Multiagent Systems for Workflow},
  journal = 	 {International Journal of Intelligent Systems in Accounting, Finance and Management},
  year = 	 1999,
  month =	 {June},
  abstract = 	 {Workflows are ubiquitous in business computing. They
                  arise not only within an enterprise but increasingly
                  across enterprises as well---in situations such as
                  virtual enterprises and applications such as
                  supply-chain management. Although the importance of
                  workflows as a basis for understanding and
                  automating business activities is widely recognized,
                  current workflow practice leaves much to be
                  desired. To a large extent, this problem arises
                  because of the rigidity of current technology, which
                  does not accord well with the complex,
                  heterogeneous, dynamic environments in which
                  workflows are applied. Agent technology promises to
                  alleviate many of these problems and hence enable
                  adaptive workflows in realistic settings. We
                  consider interaction-oriented programming (IOP), an
                  approach to software engineering based on multiagent
                  systems that we have been developing. We focus on
                  one aspect of IOP, which deals with social
                  commitments and enables agents to flexibly enact a
                  multienterprise workflow by entering into and
                  behaving according to their commitments to each
                  other. The agents can cancel or modify their
                  base-level commitments only if they satisfy the
                  metacommitments that then go into effect.},
  keywords =     {multiagent workflow},
  url = 	 {http://jmvidal.cse.sc.edu/library/singh99a.pdf},
  googleid = 	 {SmXLtKK0N2wJ:scholar.google.com/},
  cluster = 	 {7797899890726233418}
}