Abstract
Intelligent rooms are responsive environments in which human activities are monitored and responses are generated to facilitate these activities. Research and development on intelligent rooms currently focuses on the integration of multiple sensor devices with pre-programmed responses to specific triggers. Developments in intelligent agents towards intrinsically motivated learning agents can be integrated with the concept of an intelligent room. The resulting model focuses developments in intelligent rooms on a characteristic reasoning process that uses motivation to guide action and learning. Using a motivated learning agent model as the basis for an intelligent room opens up the possibility of intelligent environments being able to adapt both to people’s changing usage patterns and to the addition of new capabilities, via the addition of new sensors and effectors, with relatively little need for reconfiguration by humans.
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Macindoe, O., Maher, M.L. (2005). Intrinsically Motivated Intelligent Rooms. In: Enokido, T., Yan, L., Xiao, B., Kim, D., Dai, Y., Yang, L.T. (eds) Embedded and Ubiquitous Computing – EUC 2005 Workshops. EUC 2005. Lecture Notes in Computer Science, vol 3823. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596042_20
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DOI: https://doi.org/10.1007/11596042_20
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