Abstract
We have recently begun work on extending our least-commitment constraint-based scheduling technology to handle more complex dynamical models. The current scheduling process involves a complex interaction between discrete choices (resource assignments, sequencing decisions), and a continuous temporal model. Discrete choices enforce new constraints on the temporal model. Those constraints may be inconsistent with the current model, thus forcing backtracking in the discrete domain, or if consistent, may serve to constrain choices for discrete variables not yet assigned. The extensions currently underway involve adapting and modifying more complex continuous models. This will permit us to apply the system to such complex problems as crude blending or tank management at a refinery, aircraft mission planning, or spacecraft mission planning and control.