Goal Reconstruction

Goal reconstruction is the ability of an agent to exploit short-cuts to return to a problem where it was last left off, even when the memory in which the problem was stored has been used for other purposes. This capability is implicit in some architectures and explicit in others. Kurt VanLehn argues that goal reconstruction is critical to mimic the human capability of quickly restarting a problem after being indefinitely interrupted. Teton employs goal reconstruction explicitly using two mechanisms in order to balance efficiency and speed with robustness.


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