Command generation by tree search in artificial intelligence
Nelson, David Leo
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Investigation is made into treating the noncausal open-loop command generator for a totally automatic controller of the TAFCOS-type as a tree-search problem in artificial intelligence. Discussion is given of earlier dynamic-optimization and optimal-control approaches. It is the purpose of this work to create a software bed for achieving, in a command generator, heuristic open-loop control actions similar to humans, and thus to relieve downstream "ignorant" closed loop controllers of responsibility for dealing with large errors. Emphasis is on an "Edisonian"â€”in contrast to a "Newtonian"â€”approach. Appendices contain a simple Riccatiequation solver, two different search prototypes in BASIC, and a more general tree-based command generator in C, with a Users' Guide.
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