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AIPS
2000
13 years 11 months ago
Using Generic Preferences to Incrementally Improve Plan Quality
We describe a methodology for representing and optimizing user preferences on plans. Our approach differs from previous work on plan optimization in that we employ a generalizatio...
Gregg Rabideau, Barbara Engelhardt, Steve A. Chien
AIPS
2000
13 years 11 months ago
Using Iterative Repair to Improve the Responsiveness of Planning and Scheduling
The majority of planning and scheduling research has focused on batch-oriented models of planning. This paper discusses the use of iterative repair techniques to support a continu...
Steve A. Chien, Russell Knight, Andre Stechert, Ro...
AIPS
2000
13 years 11 months ago
Planning in Interplanetary Space: Theory and Practice
On May 17th 1999, NASA activated for the first time an AI-based planner/scheduler running on the flight processor of a spacecraft. This was part of the Remote Agent Experiment (RA...
Ari K. Jónsson, Paul H. Morris, Nicola Musc...
AIPS
2000
13 years 11 months ago
Using AI Planning Technology for Army Small Unit Operations
In this paper, we outline the requirements of a planning and decision aid to support US Army small unit operations in urban terrain and show how AI planning technologies can be ex...
Austin Tate, John Levine, Peter Jarvis, Jeff Dalto...
AIPS
2000
13 years 11 months ago
Heuristics for Constraint-Directed Scheduling with Inventory
Despite the importance of the management of inventory in industrial scheduling applications, there has been little research that has addressed reasoning about inventory directly a...
J. Christopher Beck