Abstract
Task performance of humans that act under demanding circumstances may vary over time, depending on the characteristics of human, task and environment. To increase the effectiveness and efficiency of task performance, personalised assistance may be provided, in the form of automated personal assistant agents that constantly monitor the task execution and well-being of the human, and intervene when a problem is detected. This paper proposes a generic design for a multi-agent system architecture including such personal assistant agents, which can be deployed in a variety of domains.
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Bosse, T. et al. (2009). A Multi-agent System Architecture for Personal Support during Demanding Tasks. In: Chien, BC., Hong, TP. (eds) Opportunities and Challenges for Next-Generation Applied Intelligence. Studies in Computational Intelligence, vol 214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92814-0_44
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DOI: https://doi.org/10.1007/978-3-540-92814-0_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-92813-3
Online ISBN: 978-3-540-92814-0
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