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Learning from Solution Paths

Keywords: learning, negative instance, positive instance

Categories: Learning


Author(s): Pat Langley

Starting with only the legal conditions on a set of Operators, a strategy learning system can employ weak methods to search a problem space. Once a solution path has been found, it can be used to assign credit and blame to instances of these operators. If a move leads from a state on the solution path to another state on the solution path, it is labelled as a positive instance of the responsible operator. However, if a move leads from a state on the solution path to a state not on the path, it is marked as a negative instance. These classifications can then be input to a condition-finding mechanism (such as the generalisation, discrimination or Version Space methods); which will determine the heuristically useful conditions under which each operator should be applied.


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