Domain-dependent knowledge in answer set planning

被引:32
作者
Son, Tran Cao
Baral, Chitta
Tran, Nam
McIlraith, Sheila
机构
[1] New Mexico State Univ, Dept Comp Sci, Las Cruces, NM 88003 USA
[2] Arizona State Univ, Tempe, AZ 85287 USA
[3] Univ Toronto, Dept Comp Sci, Toronto, ON M5S 5H3, Canada
关键词
languages; reasoning about actions; procedural knowledge; planning; control knowledge; answer set planning;
D O I
10.1145/1183278.1183279
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In this article we consider three different kinds of domain-dependent control knowledge ( temporal, procedural and HTN-based) that are useful in planning. Our approach is declarative and relies on the language of logic programming with answer set semantics (AnsProlog*). AnsProlog* is designed to plan without control knowledge. We show how temporal, procedural and HTN-based control knowledge can be incorporated into AnsProlog* by the modular addition of a small number of domain-dependent rules, without the need to modify the planner. We formally prove the correctness of our planner, both in the absence and presence of the control knowledge. Finally, we perform some initial experimentation that demonstrates the potential reduction in planning time that can be achieved when procedural domain knowledge is used to solve planning problems with large plan length.
引用
收藏
页码:613 / 657
页数:45
相关论文
共 53 条
[1]  
BABOVICH Y, COMPUTING ANSWER SET
[2]   Using temporal logics to express search control knowledge for planning [J].
Bacchus, F ;
Kabanza, F .
ARTIFICIAL INTELLIGENCE, 2000, 116 (1-2) :123-191
[3]  
BACCHUS F, 2000, P 5 INT C ART INT PL
[4]  
Baral C., 2003, Knowledge Representation, Reasoning and Declarative Problem Solving
[5]  
BARAL C, 1999, LNCS, V1757, P188
[6]  
BARAL C, 1995, P IJCAI 95, P2017
[7]   Fast planning through planning graph analysis [J].
Blum, AL ;
Furst, ML .
ARTIFICIAL INTELLIGENCE, 1997, 90 (1-2) :281-300
[8]   Planning as heuristic search [J].
Bonet, B ;
Geffner, H .
ARTIFICIAL INTELLIGENCE, 2001, 129 (1-2) :5-33
[9]  
Burgard W, 1998, FIFTEENTH NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE (AAAI-98) AND TENTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICAL INTELLIGENCE (IAAI-98) - PROCEEDINGS, P11
[10]   THE COMPUTATIONAL-COMPLEXITY OF PROPOSITIONAL STRIPS PLANNING [J].
BYLANDER, T .
ARTIFICIAL INTELLIGENCE, 1994, 69 (1-2) :165-204