Computational Costs versus Benefits of Control Reasoning

Alan Garvey, Craig Cornelius, Barbara Hayes-Roth

We assess the computational costs and benefits of control reasoning in the PROTEAN system, which is built in the BB environment. We experimentally manipulate PROTEAN’s control knowledge and analyze differences in total problem-solving time as a function of several component times. Our results demonstrate and explain the utility of control reasoning. They also illustrate the importance of experimental investigation and utility of the BB environment for conducting such investigations.


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