| Title: |
A Practical Approach to Discretised PDDL+ Problems by Translation to Numeric Planning |
| Authors: |
Percassi F.; Scala E.; Vallati M. |
| Contributors: |
Percassi F.; Scala E.; Vallati M. |
| Publication Year: |
2023 |
| Collection: |
Università degli Studi di Brescia: OPENBS - Open Archive UniBS |
| Description: |
pddl+ models are advanced models of hybrid systems and the resulting problems are notoriously difficult for planning engines to cope with. An additional limiting factor for the exploitation of pddl+ approaches in real-world applications is the restricted number of domain-independent planning engines that can reason upon those models. With the aim of deepening the understanding of pddl+ models, in this work, we study a novel mapping between a time discretisation of pddl+ and numeric planning as for pddl2.1 (level 2). The proposed mapping not only clarifies the relationship between these two formalisms but also enables the use of a wider pool of engines, thus fostering the use of hybrid planning in real-world applications. Our experimental analysis shows the usefulness of the proposed translation and demonstrates the potential of the approach for improving the solvability of complex pddl+ instances. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| Relation: |
info:eu-repo/semantics/altIdentifier/wos/WOS:000919570100003; volume:76; firstpage:115; lastpage:162; numberofpages:48; journal:THE JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH; https://hdl.handle.net/11379/571988 |
| DOI: |
10.1613/jair.1.13904 |
| Availability: |
https://hdl.handle.net/11379/571988; https://doi.org/10.1613/jair.1.13904 |
| Accession Number: |
edsbas.F3421352 |
| Database: |
BASE |