The number of degrees of freedom and the complexity of the underlying control mechanism can either increase or decrease during learning.

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During learning, the number of degrees of freedom and the complexity of the control mechanism can either increase or decrease, depending on the task and the learning algorithm used. For example, a simple task such as learning to balance on one foot may initially have only one degree of freedom, but as the person becomes more skilled, they may begin to incorporate more complex movements such as shifting their weight or adjusting their muscle tone to maintain balance, which can increase the number of degrees of freedom. Similarly, a more complex task such as learning to play a musical instrument may initially have many degrees of freedom and a complex control mechanism, but as the person becomes more skilled, they may be able to simplify their movements and automate some aspects of the control mechanism, which can decrease the complexity.

The Number of Degrees of Freedom and the Complexity of the Underlying