Transition Constraints for Parallel Planning

被引：0

作者：

Ghooshchi, Nina Ghanbari ^{[1
]}

Namazi, Majid ^{[1
]}

Newton, M. A. Hakim ^{[2
]}

Sattar, Abdul ^{[2
]}

机构：

[1] Urmia Univ, Dept Comp Engn, West Azarbaijan, Iran

[2] Griffith Univ, IIIS, Nathan, Qld, Australia

来源：

PROCEEDINGS OF THE TWENTY-NINTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE | 2015年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present a planner named Transition Constraints for Parallel Planning (TCPP). TCPP constructs a new constraint model from domain transition graphs (DTG) of a given planning problem. TCPP encodes the constraint model by using table constraints that allow don't cares or wild cards as cell values. TCPP uses Minion the constraint solver to solve the constraint model and returns the parallel plan. Empirical results exhibit the efficiency of our planning system over state-of-the-art constraint-based planners.

引用

页码：3268 / 3274

页数：7

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