Summary of Behaviour Planning: a Toolkit For Diverse Planning, by Mustafa F Abdelwahed et al.
Behaviour Planning: A Toolkit for Diverse Planning
by Mustafa F Abdelwahed, Joan Espasa, Alice Toniolo, Ian P. Gent
First submitted to arxiv on: 7 May 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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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 In this research paper, a new toolkit called Behaviour Planning is introduced, designed to generate diverse plans for real-world applications such as plan recognition and business process automation. The toolkit uses modular diversity models to characterise and generate diverse plans. The authors present a qualitative framework for describing diversity models, a planning approach for generating plans aligned with any given diversity model, and provide a practical implementation of an SMT-based behaviour planner. Compared to state-of-the-art approaches, Behaviour Planning effectively generates diverse plans. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Behaviour Planning is a new toolkit that helps generate different plans for real-world scenarios like plan recognition and business process automation. The toolkit uses modular models to create unique plans. It also provides a way to describe these diversity models and generate plans that match them. This approach can solve problems faced by previous methods. By testing Behaviour Planning, the authors show that it is good at creating diverse plans compared to other state-of-the-art approaches. |
