Abstract
In this chapter we describe the main pillars of the Planning.Domains initiative (API, Solver, Editor, and Education), detail some of the current use-cases for them, and outline the future path of the initiative. We further dive into some of the most recent developments of Planning.Domains, and shed light on what is next for the platform.
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Notes
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This is, in fact, already in place for the (potentially anonymous) submission of new incumbent plans.
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It is not recommended to submit this to an IPC, as it violates many of the rules for entered planners, and the spirit of the contest itself.
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References
Barreiro, J., Boyce, M., Do, M., Frank, J., Iatauro, M., Kichkaylo, T., Morris, P., Ong, J., Remolina, E., Smith, T., et al.: Europa: A platform for AI planning, scheduling, constraint programming, and optimization. 4th International Competition on Knowledge Engineering for Planning and Scheduling (ICKEPS) (2012)
Chakraborti, T., Fadnis, K.P., Talamadupula, K., Dholakia, M., Srivastava, B., Kephart, J.O., Bellamy, R.K.: Visualizations for an explainable planning agent. arXiv preprint arXiv:1709.04517 (2017)
Chen, G., Ding, Y., Edwards, H., Hin Chau, C., Hou, S., Johnson, G., Sharukh Syed, M., Tang, H., Wu, Y., Yan, Y., Tidhar, G., Lipovetzky, N.: Planimation. ICAPS system demonstration (2019)
Geffner, H., Bonet, B.: A concise introduction to models and methods for automated planning. Morgan & Claypool Publishers (2013)
Haslum, P., Lipovetzky, N., Magazzeni, D., Muise, C.: An Introduction to the Planning Domain Definition Language. Morgan & Claypool Publishers (2019)
Hoffmann, J.: The TorchLight Tool: Analyzing Search Topology Without Running Any Search. In: Proceedings of the System Demonstrations, in the 21th International Conference on Automated Planning and Scheduling. pp. 37–41 (2011)
Howey, R., Long, D., Fox, M.: Val: Automatic plan validation, continuous effects and mixed initiative planning using PDDL. In: 16th IEEE International Conference on Tools with Artificial Intelligence. pp. 294–301. IEEE (2004)
Howey, R., Long, D., Fox, M.: VAL: Automatic plan validation, continuous effects and mixed initiative planning using PDDL. In: 16th IEEE International Conference on Tools with Artificial Intelligence. pp. 294–301. IEEE (2004)
Lipovetzky, N., Geffner, H.: Width and Serialization of Classical Planning Problems. In: ECAI. pp. 540–545 (2012)
Magnaguagno, M.C., Pereira, R.F., Móre, M.D., Meneguzzi, F.: Web planner: A tool to develop classical planning domains and visualize heuristic state-space search. In: Proceedings of the Workshop on User Interfaces and Scheduling and Planning, UISP. pp. 32–38 (2017)
Plch, T., Chomut, M., Brom, C., Barták, R.: Inspect, edit and debug PDDL documents: Simply and efficiently with PDDL studio. System Demonstrations and Exhibits at ICAPS pp. 15–18 (2012)
Ramirez, M., Lipovetzky, N., Muise, C.: Lightweight Automated Planning ToolKiT. http://lapkt.org/ (2015), accessed: 2019-06-7
Strobel, V.: myPDDL—Knowledge Engineering for PDDL. http://pold87.github.io/myPDDL/ (2015), accessed: 2016-03-18
Vaquero, T.S., Silva, J.R., Ferreira, M., Tonidandel, F., Beck, J.C.: From Requirements and Analysis to PDDL in itSIMPLE3.0. Proceedings of the Third International Competition on Knowledge Engineering for Planning and Scheduling, ICAPS 2009 pp. 54–61 (2009)
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Muise, C., Lipovetzky, N. (2020). KEPS Book: Planning.Domains. In: Vallati, M., Kitchin, D. (eds) Knowledge Engineering Tools and Techniques for AI Planning. Springer, Cham. https://doi.org/10.1007/978-3-030-38561-3_5
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DOI: https://doi.org/10.1007/978-3-030-38561-3_5
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