@Article{jennings00,
  author =	 {Nicholas R. Jennings},
  title =	 {On agent-based software engineering},
  googleid =	 {2t9VyBjiFX4J:scholar.google.com/},
  journal =	 {Artificial Intelligence},
  volume =	 117,
  pages =	 {277--296},
  year =	 2000,
  abstract =	 {Agent-based computing represents an exciting new
                  synthesis both for Artificial Intelligence (AI) and,
                  more generally, Computer Science. It has the
                  potential to significantly improve the theory and
                  the practice of modeling, designing, and
                  implementing computer systems. Yet, to date, there
                  has been little systematic analysis of what makes
                  the agent-based approach such an appealing and
                  powerful computational model. Moreover, even less
                  effort has been devoted to discussing the inherent
                  disadvantages that stem from adopting an
                  agent-oriented view. Here both sets of issues are
                  explored. The standpoint of this analysis is the
                  role of agent-based software in solving complex,
                  real-world problems. In particular, it will be
                  argued that the development of robust and scalable
                  software systems requires autonomous agents that can
                  complete their objectives while situated in a
                  dynamic and uncertain environment, that can engage
                  in rich, high-level social interactions, and that
                  can operate within flexible organisational
                  structures.},
  keywords =	 {multiagent aose},
  url =		 {http://jmvidal.cse.sc.edu/library/abse.pdf},
  cluster = 	 {9085416419358007258}
}