Abstract
In this article, we present a proposal to develop a model based on agents, which allows the detection of the patterns that make up the behavior of older adults, who have been influenced by the use of new information and communication technologies. The model describes the iterations of four agents: Adult Agent, Detector Agent, Content Agent and Agent Activity; these interactions together with their knowledge base will result in the identification of possible risk factors to minimize them and increase the protective that allow mental activation and active aging. The protective derived from the correlation between energy and motivation, have guided the behavior of the adult towards better integration with society.
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Soto, C.S., Caro, M.S., Cisneros, R.R., Ramírez, M.R., Moreno, H.B.R., Rojas, E.M. (2019). Towards a Model Based on Agents for the Detection of Behavior Patterns in Older Adults Who Start Using ICT. In: Jezic, G., Chen-Burger, YH., Howlett, R., Jain, L., Vlacic, L., Šperka, R. (eds) Agents and Multi-Agent Systems: Technologies and Applications 2018. KES-AMSTA-18 2018. Smart Innovation, Systems and Technologies, vol 96. Springer, Cham. https://doi.org/10.1007/978-3-319-92031-3_26
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