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h-approximation: History-Based Approximation of Possible World Semantics as ASP

Published 17 Apr 2013 in cs.AI | (1304.4925v4)

Abstract: We propose an approximation of the Possible Worlds Semantics (PWS) for action planning. A corresponding planning system is implemented by a transformation of the action specification to an Answer-Set Program. A novelty is support for postdiction wrt. (a) the plan existence problem in our framework can be solved in NP, as compared to $\Sigma_2P$ for non-approximated PWS of Baral(2000); and (b) the planner generates optimal plans wrt. a minimal number of actions in $\Delta_2P$. We demo the planning system with standard problems, and illustrate its integration in a larger software framework for robot control in a smart home.

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