ELLISINTERSTELLAR

This decision-centered approach guided development of displays to support the decision-maker and, subsequently, the algorithms to drive the displays. The latter are based solely on organizing information and presenting it to a user in support of a decision. Reasoning and learning algorithms were formulated to populate the displays. We derived four decision types and found the corresponding classes of decision-making algorithms. Specifically, case-based reasoning is excellent for planning; rules work best for doctrine-based execution; optimal policy is useful for deciding when to update a plan; and belief networks are well-suited to the uncertain reasoning required for situation assessment. We have demonstrated that JOPES is effective in providing these common processes (deliberate planning, mission planning, execution, and assessment) and assuring reuse across mission domains by tailoring our testbed to include numerous mission areas. Mission integration based on acquisition of domain..

Also known as: Ellis Interstellar LLC