Guiding planning engines by transition-based domain control knowledge

Lukáš Chrpa, Roman Barták

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

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 languageEnglish
Title of host publicationPrinciples of Knowledge Representation and Reasoning
Subtitle of host publicationProceedings of the 15th International Conference, KR 2016
PublisherAAAI press
Pages545-548
Number of pages4
Publication statusPublished - 2016
Event15th International Conference on Principles of Knowledge Representation and Reasoning 2016 - Cape Town, South Africa
Duration: 25 Apr 201629 Apr 2016
Conference number: 15
http://kr2016.cs.uct.ac.za/ (Link to Conference Website)

Conference

Conference15th International Conference on Principles of Knowledge Representation and Reasoning 2016
Abbreviated titleKR 2016
CountrySouth Africa
CityCape Town
Period25/04/1629/04/16
Internet address

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Cite this

Chrpa, L., & Barták, R. (2016). Guiding planning engines by transition-based domain control knowledge. In Principles of Knowledge Representation and Reasoning: Proceedings of the 15th International Conference, KR 2016 (pp. 545-548). AAAI press.