Acting and Planning Using Operational Models Article Swipe
YOU?
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· 2019
· Open Access
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· DOI: https://doi.org/10.1609/aaai.v33i01.33017691
The most common representation formalisms for planning are descriptive models. They abstractly describe what the actions do and are tailored for efficiently computing the next state(s) in a state transition system. But acting requires operational models that describe how to do things, with rich control structures for closed-loop online decision-making. Using descriptive representations for planning and operational representations for acting can lead to problems with developing and verifying consistency of the different models.We define and implement an integrated acting-and-planning system in which both planning and acting use the same operational models, which are written in a general-purpose hierarchical task-oriented language offering rich control structures. The acting component is inspired by the well-known PRS system, except that instead of being purely reactive, it can get advice from the planner. Our planning algorithm, RAEplan, plans by doing Monte Carlo rollout simulations of the actor’s operational models. Our experiments show significant benefits in the efficiency of the acting and planning system.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1609/aaai.v33i01.33017691
- https://ojs.aaai.org/index.php/AAAI/article/download/4764/4642
- OA Status
- diamond
- Cited By
- 14
- References
- 50
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2903629542
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2903629542Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1609/aaai.v33i01.33017691Digital Object Identifier
- Title
-
Acting and Planning Using Operational ModelsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-07-17Full publication date if available
- Authors
-
Sunandita Patra, Malik Ghallab, Dana Nau, Paolo TraversoList of authors in order
- Landing page
-
https://doi.org/10.1609/aaai.v33i01.33017691Publisher landing page
- PDF URL
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https://ojs.aaai.org/index.php/AAAI/article/download/4764/4642Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://ojs.aaai.org/index.php/AAAI/article/download/4764/4642Direct OA link when available
- Concepts
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Rotation formalisms in three dimensions, Computer science, Planner, Component (thermodynamics), Consistency (knowledge bases), Operational planning, Control (management), Representation (politics), Automated planning and scheduling, Task (project management), State (computer science), Operations research, Artificial intelligence, Systems engineering, Engineering, Programming language, Mathematics, Economics, Geometry, Management, Physics, Political science, Thermodynamics, Politics, LawTop concepts (fields/topics) attached by OpenAlex
- Cited by
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14Total citation count in OpenAlex
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2023: 1, 2022: 2, 2021: 6, 2020: 4, 2018: 1Per-year citation counts (last 5 years)
- References (count)
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50Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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