Abstract
This paper presents the development of an ambient agent model (software agent) as an initial step to develop a reading companion robot to sup-port reading performance. This ambient agent model provides detailed knowledge (human functioning) about reader’s dynamics states. Based on this human functioning knowledge, a robot will be able to reason about reader’s conditions and provides an appropriate support. Several simulation traces have been generated to illustrate the functioning of the proposed model. Furthermore, the model was verified using an automated trace analysis and the results have shown that the ambient agent model satisfies a number of related properties as presented in related literatures.
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The project is partially funded by UUM Postgraduate Research Scholarship programmes.
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Ghanimi, H.M.A., Aziz, A.A., Ahmad, F. (2017). An Ambient Agent Model for a Reading Companion Robot. In: Phon-Amnuaisuk, S., Au, TW., Omar, S. (eds) Computational Intelligence in Information Systems. CIIS 2016. Advances in Intelligent Systems and Computing, vol 532. Springer, Cham. https://doi.org/10.1007/978-3-319-48517-1_9
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DOI: https://doi.org/10.1007/978-3-319-48517-1_9
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