@inproceedings{50b9779c0c824f08a1bf9464570c3b63,
title = "An action guided constraint satisfaction technique for planning problem",
abstract = "This paper presents an action guided constraint satisfaction technique for planning problem. Different from the standard algorithms which are almost domain independence and cannot reflect the characteristics of the planning progress, we discuss how the action rules in planning act in constraint satisfaction problems. Based on the conclusion, an action directed constraint is proposed to guide the variable selected procedure in constraint satisfaction problems. Through theoretical analysis, this technique is prior an order of magnitude in variable select procedure over the ordinary heuristic technique and can be used in constraint-programmed planning problem generally. With the simulation experiments it shows that the algorithm with action guided constraint can effectively reduce the number of constraint checks during the planning procedure and has a better performance on total running time over the standard version.",
keywords = "Action guided, Constraint satisfaction, Planning, Variable selected",
author = "Xiao Jiang and Pingyuan Cui and Rui Xu and Ai Gao and Shengying Zhu",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 15th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2016 ; Conference date: 22-08-2016 Through 23-08-2016",
year = "2017",
month = feb,
day = "21",
doi = "10.1109/ICCI-CC.2016.7862031",
language = "English",
series = "Proceedings of 2016 IEEE 15th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "167--173",
editor = "Kostas Plataniotis and Bernard Widrow and Newton Howard and Zadeh, {Lotfi A.} and Yingxu Wang",
booktitle = "Proceedings of 2016 IEEE 15th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2016",
address = "United States",
}