Summary of Routing and Scheduling in Answer Set Programming Applied to Multi-agent Path Finding: Preliminary Report, by Roland Kaminski et al.
Routing and Scheduling in Answer Set Programming applied to Multi-Agent Path Finding: Preliminary Report
by Roland Kaminski, Torsten Schaub, Tran Cao Son, Jiří Švancara, Philipp Wanko
First submitted to arxiv on: 18 Mar 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Logic in Computer Science (cs.LO); Symbolic Computation (cs.SC)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed approaches in Answer Set Programming (ASP) offer alternative solutions for routing and scheduling in Multi-agent Path Finding. By modeling partial orders instead of time steps, the need for fixed upper bounds on plan lengths is abolished. However, this approach requires temporal trajectories to be acyclic, as multiple occurrences of actions or fluents cannot be distinguished. The effectiveness of these encodings is demonstrated through an empirical analysis. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary In a paper about Answer Set Programming (ASP), researchers explored new ways to solve routing and scheduling problems in Multi-agent Path Finding. Instead of using time steps, they used partial orders to model the flow of time. This helps to avoid having to set upper limits on plan lengths, but it means that some things can’t be repeated or happen at exactly the same moment. The researchers showed how this works by creating special kinds of ASP encodings and tested them to see if they were effective. |
