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A natural question to ask is whether the improvement in runtime performance
comes at a high price
in increased planner effort.
The data show (see Figure 12) that there is a decrease in
the amount of search
effort the planner requires in order to instantiate local role-binding
variables. There is also a
dramatic reduction in the number of planning search nodes expanded during
calls to the planner, both
compared to the initial behavior and the baseline learning system. In
other, the development of
conventions is a `win-win' situation.
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Figure 12:
Planning effort decreases when actors learn conventions.
Last Update: March 10, 1999
by Andy Garland