@InCollection{pynadath99a,
  author =	 {David V. Pynadath and Miling Tambe and Nicolas
                  Chauvat and Lawrence Cavedon},
  title =	 {Toward Team-Oriented Programming},
  googleid =	 {X3jpFEH_f5UJ:scholar.google.com/},
  booktitle =	 {Intelligent Agents VI: Agent Theories, Architectures
                  and Languages},
  pages =	 {233--247},
  publisher =	 {Springer-Verlag},
  year =	 1999,
  editor =	 {N.R. Jennings and Y. Lesperance},
  abstract =	 {The promise of agent-based systems is leading
                  towards the development of autonomous, heterogeneous
                  agents, designed by a variety of research/industrial
                  groups and distributed over a variety of platforms
                  and environments. Teamwork among these heterogeneous
                  agents is critical in realizing the full potential
                  of these systems and scaling up to the demands of
                  large-scale applications. Unfortunately, development
                  of robust, flexible agent teams is currently
                  extremely difficult. This paper focuses on
                  significantly accelerating the process of building
                  such teams using a simplified, abstract framework
                  called team-oriented programming (TOP). In TOP, a
                  programmer specifies an agent organization hierarchy
                  and the team tasks for the organization to perform,
                  abstracting away from the innumerable coordination
                  plans potentially necessary to ensure robust and
                  flexible team operation. Our TEAMCORE system
                  supports TOP through a distributed,
                  domain-independent layer that integrates core
                  teamwork coordination and communication
                  capabilities. We have recently used TOP to integrate
                  a diverse team of heterogeneous distributed agents
                  in performing a complex task.We outline the current
                  state of our TOP implementation and the outstanding
                  issues in developing such a framework.},
  keywords =     {multiagent planning},
  url =		 {http://jmvidal.cse.sc.edu/library/pynadath99a.pdf},
  cluster = 	 {10772609488682317919},
}