Titlebook: Knowledge Engineering Tools and Techniques for AI Planning; Mauro Vallati,Diane Kitchin Book 2020 Springer Nature Switzerland AG 2020 Arti

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書目名稱Knowledge Engineering Tools and Techniques for AI Planning影響因子(影響力)




書目名稱Knowledge Engineering Tools and Techniques for AI Planning影響因子(影響力)學科排名




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書目名稱Knowledge Engineering Tools and Techniques for AI Planning網(wǎng)絡公開度學科排名




書目名稱Knowledge Engineering Tools and Techniques for AI Planning被引頻次




書目名稱Knowledge Engineering Tools and Techniques for AI Planning被引頻次學科排名




書目名稱Knowledge Engineering Tools and Techniques for AI Planning年度引用




書目名稱Knowledge Engineering Tools and Techniques for AI Planning年度引用學科排名




書目名稱Knowledge Engineering Tools and Techniques for AI Planning讀者反饋




書目名稱Knowledge Engineering Tools and Techniques for AI Planning讀者反饋學科排名

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Automated Domain Model Learning Tools for Planning. The taxonomy and order of these methods we followed are based on their standing and frequency of usage in the past research. Our intended contribution in this chapter is to provide a broader perspective on the range of techniques in the domain model learning area which underpin the developmental decisions of the learning tools.

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Interactive Visualization in Planning and Schedulingveral tools supporting the planning process have been designed. This chapter focuses on interactive visualization of plans and schedules, that is, on the way how plans and schedules can be presented visually to users, and on tools that can work with these visualizations.

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MyPDDL: Tools for Efficiently Creating PDDL Domains and Problemsof syntax highlighting detected 36% more errors than non-users in an erroneous domain file. The average time on task for questions on a PDDL type hierarchy was reduced by 48% when making the type diagram generator available. This implies that myPDDL can support knowledge engineers well in the PDDL design and analysis process.

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Web Planner: A Tool to Develop, Visualize, and Test Classical Planning Domainsected without changing context. The visualization tool explores two alternative visualizations aimed at illustrating the operation of the planning process and how the domain dynamics evolve during plan execution.

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Modeling Planning Tasks: Representation Matters a given domain while a planning problem specifies concrete objects, an initial state, and a goal. Planning domain model together with planning problem description forms a planning task. Hence it is typical that one domain model can be used for a class of planning tasks.

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Argument-Based Plan Explanationbe identified through dialogue, allowing the system to use such a dialogue to explain a plan. We provide information about our prototype system implementation, discussing its current limitations, and identifying potential avenues for future research.

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