Abstract
Representing and manipulating domain knowledge is essential for developing systems that can visualize plans. This paper presents a novel plan visualisation system called Planning Domain Simulation (PDSim) that employs knowledge representation and manipulation techniques to support the plan visualization process. PDSim can use PDDL or the Unified Planning Library's Python representation as the underlying language for modelling planning problems and provides an interface for users to manipulate this representation through interaction with the Unity game engine and a set of planners. The system’s features include visualising plan components, and their relationships, identifying plan conflicts, and examples applied to real-world problems. The benefits and limitations of PDSim are also discussed, highlighting future research directions in the area.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 34th International Conference on Automated Planning and Scheduling, ICAPS 2024 |
| Editors | Sara Bernardini, Christian Muise |
| Place of Publication | Washington, DC, US |
| Publisher | Association for the Advancement of Artificial Intelligence |
| Pages | 133-141 |
| Number of pages | 9 |
| Volume | 34 |
| ISBN (Print) | 101577358899, 139781577358893 |
| DOIs | |
| Publication status | Published - 30 May 2024 |
| Event | 34th International Conference on Automated Planning and Scheduling 2024 - Banff, Canada Duration: 1 Jun 2024 → 6 Jun 2024 Conference number: 34 https://ojs.aaai.org/index.php/ICAPS/issue/view/606 |
Conference
| Conference | 34th International Conference on Automated Planning and Scheduling 2024 |
|---|---|
| Abbreviated title | ICAPS 2024 |
| Country/Territory | Canada |
| City | Banff |
| Period | 1/06/24 → 6/06/24 |
| Internet address |
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Science Applications
- Information Systems and Management