Abstract | ||
---|---|---|
Knowledge-based programs (KBPs) are high-level protocols describing the course of action an agent should perform as a function of its knowledge. The use of KBPs for expressing action policies in AI planning has been surprisingly underlooked. Given that to each KBP corresponds an equivalent plan and vice versa, KBPs are typically more succinct than standard plans, but imply more online computation time. Here we compare KBPs and standard plans according to succinctness and to the complexity of plan verification. |
Year | DOI | Venue |
---|---|---|
2012 | 10.3233/978-1-61499-098-7-504 | Frontiers in Artificial Intelligence and Applications |
DocType | Volume | ISSN |
Conference | 242 | 0922-6389 |
Citations | PageRank | References |
8 | 0.51 | 7 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jérôme Lang | 1 | 86 | 7.04 |
Bruno Zanuttini | 2 | 289 | 25.43 |