Abstract
Research in context-aware systems has been moving towards reusable and adaptable architectures for managing more advanced human-computer interfaces. Ambient. Intelligence (AmI) investigates computer-based services, which are ubiquitous and based on a variety of objects and devices. Their intelligent and intuitive interfaces act as mediators through which people can interact with the ambient environment. In this paper we present an agent-based architecture which supports the execution of agents in AmI environments. Two case studies are also presented, an airport information system and a railway information system, which uses spoken conversational agents to respond to the user’s requests using the contextual information that includes the location information of the user.
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Sánchez-Pi, N., Mangina, E., Carbó, J., Molina, J.M. (2010). Multi-agent System (MAS) Applications in Ambient Intelligence (AmI) Environments. In: Demazeau, Y., et al. Trends in Practical Applications of Agents and Multiagent Systems. Advances in Intelligent and Soft Computing, vol 71. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12433-4_58
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DOI: https://doi.org/10.1007/978-3-642-12433-4_58
Publisher Name: Springer, Berlin, Heidelberg
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