Paradigms of A.I. Robotics
Paradigms of A.I. Robotics
Paradigms of A.I. Robotics
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Pros and Cons <strong>of</strong> H.P<br />
Advantages:<br />
Hierarchical (top-down) structure allow for the planning module to<br />
focus all behaviours towards a single set <strong>of</strong> goals.<br />
Drawbacks:<br />
(Closed world assumption) Reliance on the static world model<br />
during the S-P-A cycle causes poor performance in dynamic<br />
environments.<br />
(Frame problem) Updating and maintaining a sufficiently detailed<br />
world model can be computationally intractable.<br />
Searching for a plan to achieve a certain goal is equally complex.<br />
<strong>Paradigms</strong> <strong>of</strong> A.I. <strong>Robotics</strong> – p.9/
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