Abstract
When it comes to planning for joint human-agent activities, one has to consider not only flexible plan execution and social constraints but also the dynamic nature of humans. This can be achieved by providing additional information about the characteristics of a human. As an example one need to take the physical and psychological condition of the elderly into consideration when developing collaborative applications like socially assistive robots. This work outlines Hplan, an extension to the agent-framework JIAC V, that takes this requirement into account. Hplan is strongly related to the conceptual model of dynamic planning components and integrates humans as avatars into a life cycle of planning, execution and learning.
Keywords
- Planning Process
- Plan Execution
- Planning Language
- Action Description
- Assistive Robot
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Ahrndt, S., Ebert, P., Fähndrich, J., Albayrak, S. (2014). HPLAN: Facilitating the Implementation of Joint Human-Agent Activities. In: Demazeau, Y., Zambonelli, F., Corchado, J.M., Bajo, J. (eds) Advances in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection. PAAMS 2014. Lecture Notes in Computer Science(), vol 8473. Springer, Cham. https://doi.org/10.1007/978-3-319-07551-8_1
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DOI: https://doi.org/10.1007/978-3-319-07551-8_1
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