@InProceedings{chien99a,
  author =	 {Steve Chien and Russell Knight and Andre Stechert
                  and Rob Sherwood and Gregg Rabideau},
  title =	 {Using Iterative Repair to Increase the
                  Responsiveness of Planning and Scheduling for
                  Autonomous Spacecraft},
  googleid =	 {f_c2WIlXB40J:scholar.google.com/},
  booktitle =	 {{IJCAI99} Workshop on Scheduling and Planning meet
                  Real-time Monitoring in a Dynamic and Uncertain
                  World},
  year =	 1999,
  address =	 {Stockholm, Sweden},
  month =	 {August},
  comment =	 {A description of the CASPER project.},
  abstract =	 {An autonomous spacecraft must balance long-term and
                  short-term considerations. It must perform
                  purposeful activities that ensure long-term science
                  and engineering goals are achieved and ensure that
                  it maintains positive resource margins. This
                  requires planning in advance to avoid a series of
                  shortsighted decisions that can lead to
                  failure. However, it must also respond in a timely
                  fashion to a somewhat dynamic and unpredictable
                  environment. Thus, spacecraft plans must often be
                  modified due to fortuitous events such as early
                  completion of observations and setbacks such as
                  failure to acquire a guidestar for a science
                  observation. This paper describes the use of
                  iterative repair to support continuous modification
                  and updating of a current working plan in light of
                  changing operating context.},
  keywords =     {ai planning application},
  url =		 {http://jmvidal.cse.sc.edu/library/chien99a.pdf},
  cluster = 	 {10162187331586946943}
}