AIJan 8

From Stories to Cities to Games: A Qualitative Evaluation of Behaviour Planning

arXiv:2601.04911v2h-index: 46
Originality Incremental advance
AI Analysis

It addresses the need for diverse planning in domains like risk management and malware detection, but appears incremental as it extends earlier methods with a diversity model.

The paper demonstrates the usefulness of behavior planning, a novel diverse planning paradigm, through three case studies in storytelling, urban planning, and game evaluation, showing its application in real-world domains.

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.

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