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Hierarchical Task Network Planning with Task Insertion and State Constraints

Xiao, Zhanhao and Herzig, Andreas and Perrussel, Laurent and Wan, Hai and Su, Xiaoheng Hierarchical Task Network Planning with Task Insertion and State Constraints. (2017) In: 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), 19 August 2017 - 25 August 2017 (Melbourne, Australia).

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Official URL: https://www.ijcai.org/proceedings/2017/0623.pdf

Abstract

We extend hierarchical task network planning with task insertion (TIHTN) by introducing state constraints, called TIHTNS. We show that just as for TIHTN planning, all solutions of the TIHTNS planning problem can be obtained by acyclic decomposition and task insertion, entailing that its planexistence problem is decidable without any restriction on decomposition methods. We also prove that the extension by state constraints does not increase the complexity of the plan-existence problem, which stays 2-NEXPTIME-complete, based on an acyclic progression operator. In addition, we show that TIHTNS planning covers not only the original TIHTN planning but also hierarchy-relaxed hierarchical goal network planning.

Item Type:Conference or Workshop Item (Paper)
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > University of Western Sydney - UWS (AUSTRALIA)
Other partners > Sun Yat-sen University (CHINA)
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Deposited By: IRIT IRIT
Deposited On:05 Nov 2018 15:30

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