Summary of The Universal Pddl Domain, by Patrik Haslum et al.
The Universal PDDL Domain
by Patrik Haslum, Augusto B. Corrêa
First submitted to arxiv on: 28 Oct 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Logic in Computer Science (cs.LO)
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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 This paper explores a crucial distinction in AI planning domains and problem instances, highlighting its significance in generalized planning approaches. Researchers demonstrate that it is feasible to define a single PDDL domain encompassing various problem instances from diverse domains. This “universal” domain formulation has implications for the complexity of domain-dependent or generalized planning. The study presents different formulations of this universal domain and discusses their consequences. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary In AI, researchers are working on creating machines that can make plans and solve problems. One important thing to consider is what makes a problem similar to others. This paper shows how to define a special kind of “domain” in the PDDL language that includes many different problem instances. This helps with making general plans that work for all kinds of problems within that domain. |
