Abstract
This article describes the joint research project between Ohio State University and Adaptive Machine Technology which employs a knowledge- based real-time control system to control the motion of the Adaptive Suspension Vehicle (ASV). The ASV is controlled by a multiprocessing computer with seven Intel 80386 microprocessors receiving information from over 100 vehicle sensors. The article describes efforts to develop new methods for partitioning reasoning efforts: allocating computing power on important problems and determining the importance of a given problem in relation to other problems
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