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Web Planner: A Tool to Develop, Visualize, and Test Classical Planning Domains

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Knowledge Engineering Tools and Techniques for AI Planning


Automated planning tools are complex pieces of software that take declarative domain descriptions and generate plans from domains and problems. New users often find it challenging to understand the plan generation process, while experienced users often find it difficult to track semantic errors and efficiency issues. In response, we develop a cloud-based planning tool with code editing and state-space visualization capabilities that simplifies this process. The code editor focuses on visualizing the domain, problem, and resulting sample plan, helping the user see how such descriptions are connected 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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We acknowledge the support given by CAPES/Pro-Alertas (88887.115590/ 2015-01) and CNPQ within process number 305969/2016-1 under the PQ fellowship.

This research was achieved in cooperation with HP Brasil Indústria e Comércio de Equipamentos Eletrônicos LTDA using incentives of Brazilian Informatics Law (Law n 8.2.48 of 1991).

Part of this research was also financed by the Coordenação de Aperfeiçoamento de Pessoal de Nivel Superior—Brasil (CAPES)—Finance Code 001.

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Correspondence to Maurício C. Magnaguagno .

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Magnaguagno, M.C., Pereira, R.F., Móre, M.D., Meneguzzi, F. (2020). Web Planner: A Tool to Develop, Visualize, and Test Classical Planning Domains. In: Vallati, M., Kitchin, D. (eds) Knowledge Engineering Tools and Techniques for AI Planning. Springer, Cham.

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  • Print ISBN: 978-3-030-38560-6

  • Online ISBN: 978-3-030-38561-3

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