W15-4646 the advantages of integrating AI planning capabilities into a DS . Such
W15-4646 the Planner . The integration of AI Planning begins with the statement of
P10-1159 instructions can be generated using AI planning . We exploited the planner 's
W15-4646 Search Strategies . Almost all AI Planning systems use efficient search
P14-1052 of attack formalizes NLG as an AI planning problem . SPUD ( Stone et al.
P11-2042 been approached primarily as an AI planning task . Andr ´ e et al. (
W11-2011 and Koller use techniques from AI planning for the combined generation of
W15-4646 intertwining dialog systems and AI Planning into a MIP system . First , we
P10-1159 communication , using techniques from AI planning . We show how to generate instructions
W11-2847 Garoufi and Koller ( 2010 ) use AI planning for GIVE to principally guide
W02-2112 of each particular domain . The AI planning community is aware that machine
J89-1010 Planning : Extending the Classical AI Planning Para - </title> in Distributed
W15-4646 and Design The integration of AI Planning and user-centered dialog begins
W12-5115 of conditions are also used in AI planning and in formal models of concurrency
W15-4646 differences between stateof-the-art AI Planning and the way humans solve problems
W02-0226 Lochbaum et al. , 2000 ) and uses AI planning techniques ( Fikes and Nilsson
P10-1159 Joshi and Schabes , 1997 ) ) as an AI planning problem and solves that using
W15-4646 potentials of the integration of AI planning into a DS have to be weighed
J89-4002 structure of the sort generated by AI planning programs and produces natural
W03-2705 same opposition was present in AI planning theory between rule-driven planners
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