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Incremental and Non-incremental Learning of Control Knowledge ...

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Hybrid <strong>Learning</strong>. hamlet<br />

Example <strong>of</strong> control rule<br />

9<br />

Difficulties:<br />

(control-rule select-operators-unload-airplane<br />

(if (current-goal (at ))<br />

(true-in-state (at ))<br />

(true-in-state (loc-at ))<br />

(true-in-state (loc-at ))<br />

(type-<strong>of</strong>-object object)<br />

(type-<strong>of</strong>-object location))<br />

(then select operator unload-airplane))<br />

variables have to be bound to different values (cities)<br />

constants have to be <strong>of</strong> a specific type (object <strong>and</strong> location1)<br />

there are conditions that might not relate to the goal regression (loc-at)

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