Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1145/1183278.1183279 | ACM Transactions on Computational Logic (TOCL) |
Keywords | DocType | Volume |
reasoning about actions,domain-dependent control knowledge,procedural domain knowledge,domain-dependent knowledge,domain-dependent rule,htn-based control knowledge,large plan length,control knowledge,planning,logic programming,procedural knowledge,answer set planning,different kind,answer set semantics,initial experimentation,artificial intelligent | Journal | 7 |
Issue | ISSN | Citations |
4 | 1529-3785 | 28 |
PageRank | References | Authors |
1.10 | 47 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tran Cao Son | 1 | 1795 | 169.42 |
| Chitta Baral | 2 | 2353 | 269.58 |
| Nam Tran | 3 | 115 | 7.51 |
| Sheila A. Mcilraith | 4 | 4577 | 491.08 |