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- W2016520729 abstract "In this paper an agent-based ambient agent architecture is presented based on monitoring human’s interaction with his or her environment and performing cognitive analysis of the causes of observed or predicted behaviour. Within this agent architecture, a cognitive model for the human is taken as a point of departure. From the cognitive model it is automatically derived how internal cognitive states affect human’s performance aspects. Furthermore, for these cognitive states representation relations are derived from the cognitive model, expressed by temporal specifications involving events that will be monitored. The representation relations are verified on the monitoring information automatically, resulting in the identification of cognitive states, which affect the performance aspects. In such a way the ambient agent model is able to provide a more in depth cognitive analysis of causes of (un)satisfactory performance and based on this analysis to generate interventions in a knowledgeable manner. The application of the architecture proposed is demonstrated by two examples from the ambient-assisted living domain and the computer-assisted instruction domain." @default.
- W2016520729 created "2016-06-24" @default.
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- W2016520729 date "2011-04-22" @default.
- W2016520729 modified "2023-09-25" @default.
- W2016520729 title "An ambient agent architecture exploiting automated cognitive analysis" @default.
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- W2016520729 doi "https://doi.org/10.1007/s12652-011-0048-0" @default.
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