Abstract
Domain-independent planning requires only to specify planning problems in a standard language (e.g. PDDL) in order to utilise planning in some application. Despite a huge advancement in domain-independent planning, some relatively-easy problems are still challenging for existing planning engines. Such an issue can be mitigated by specifying Domain Control Knowledge (DCK) that can provide better guidance for planning engines. In this paper, we introduce transition-based DCK, inspired by Finite State Automata, that is efficient as demonstrated empirically, planner-independent (can be encoded within planning problems) and easy to specify.
Original language | English |
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Title of host publication | Principles of Knowledge Representation and Reasoning |
Subtitle of host publication | Proceedings of the 15th International Conference, KR 2016 |
Publisher | AAAI press |
Pages | 545-548 |
Number of pages | 4 |
Publication status | Published - 2016 |
Event | 15th International Conference on Principles of Knowledge Representation and Reasoning 2016 - Cape Town, South Africa Duration: 25 Apr 2016 → 29 Apr 2016 Conference number: 15 http://kr2016.cs.uct.ac.za/ (Link to Conference Website) |
Conference
Conference | 15th International Conference on Principles of Knowledge Representation and Reasoning 2016 |
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Abbreviated title | KR 2016 |
Country/Territory | South Africa |
City | Cape Town |
Period | 25/04/16 → 29/04/16 |
Internet address |
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