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[2601.04911] From Stories to Cities to Games: A Qualitative Evaluation of Behaviour Planning
Summary
This paper evaluates a novel behaviour planning approach, demonstrating its effectiveness across diverse domains such as storytelling, urban planning, and game evaluation through three case studies.
Why It Matters
The research highlights the importance of diverse planning methodologies in artificial intelligence, showcasing practical applications that can enhance decision-making processes in various fields. By integrating a diversity model into planning, this work contributes to more robust AI systems capable of handling complex, real-world scenarios.
Key Takeaways
- Behaviour planning incorporates a diversity model to enhance planning processes.
- Three case studies illustrate the application of behaviour planning in storytelling, urban planning, and game evaluation.
- The approach can improve decision-making in complex real-world scenarios.
Computer Science > Artificial Intelligence arXiv:2601.04911 (cs) [Submitted on 8 Jan 2026 (v1), last revised 16 Feb 2026 (this version, v2)] Title:From Stories to Cities to Games: A Qualitative Evaluation of Behaviour Planning Authors:Mustafa F. Abdelwahed, Joan Espasa, Alice Toniolo, Ian P. Gent View a PDF of the paper titled From Stories to Cities to Games: A Qualitative Evaluation of Behaviour Planning, by Mustafa F. Abdelwahed and 3 other authors View PDF HTML (experimental) Abstract:The primary objective of a diverse planning approach is to generate a set of plans that are distinct from one another. Such an approach is applied in a variety of real-world domains, including risk management, automated stream data analysis, and malware detection. More recently, a novel diverse planning paradigm, referred to as behaviour planning, has been proposed. This approach extends earlier methods by explicitly incorporating a diversity model into the planning process and supporting multiple planning categories. In this paper, we demonstrate the usefulness of behaviour planning in real-world settings by presenting three case studies. The first case study focuses on storytelling, the second addresses urban planning, and the third examines game evaluation. Subjects: Artificial Intelligence (cs.AI) Cite as: arXiv:2601.04911 [cs.AI] (or arXiv:2601.04911v2 [cs.AI] for this version) https://doi.org/10.48550/arXiv.2601.04911 Focus to learn more arXiv-issued DOI via DataCite Journal refe...
