Abstract
The Artificial Intelligence Design Challenge was an attempt to stimulate interest in a common problem involving the application of artificial intelligence technology to problems likely to be encountered in planning, scheduling, and battle management. These problems are characterized by high combinatorial complexity, uncertainty, constraints, and, in some cases, requirements for real-time performance on finite-speed processors. Participants in the design challenge submitted competing, alternative approaches, implemented in computer code executable on desktop microcomputers, for assessment and relative evaluation over a range of problems. The range of problems was generated by variation of an input data file at the time of contest judging. The participants were given a priori knowledge of only the range of data variations, and not the specific details. In this manner, robustness to problem variations was evaluated, as was normalized performance of competing algorithms and implementations.
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