Jürgen Dix
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San Francisco, CA, 94104
HTN planning in answer set programming
2002
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Abstract
AI
AI
The paper discusses Hierarchical Task Networks (HTN) planning within the framework of answer set programming (ASP). It emphasizes the ability of HTN planning to decompose complex goals into manageable tasks and how ASP's declarative nature can enhance automated reasoning capabilities. Various real-world applications and theoretical implications of applying HTN planning in ASP are explored, highlighting potential advancements in AI planning systems.