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In the first step of any design of experiment problems, the responses and their descriptions such as their types should be determined.
As in the first experiment, problems were presented in a predefined pseudorandomized sequence that was designed to balance rule and task familiarity across the 4 reasoning conditions.
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In this experiment, problem dimension is set to D=20, which is larger than existing studies [14, 15].
We also depend on science and technology: hypotheses, experimenting, problem solving, testing, reviewing by committees of peers, and lots of revisions along the way.
Many optimal experiment design problems can be formulated as optimal control problems, but with nonstandard cost functions.
From articulated mechanisms, to cloth, fluids and soft bodies; through simulation we can experiment with problems otherwise intractable.
We consider experiment design problems for both open and closed loop systems.
The experiment had problems that Dr. Hauser ascribed to an error in the computer-controlled protocol for alternating test and control experiments.
This enables the removal of individual fish from an experiment when problems are noted.
None of the dyslectic tutors that were included in the experiment reported problems with their role of tutor.
The problem is a nonconvex experiment design problem.
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