1 research outputs found
Proposal of a multiagent-based smart environment for the IoT
This work relates to context-awareness of things that belong to IoT networks.
Preferences understood as a priority in selection are considered, and dynamic
preference models for such systems are built. Preference models are based on
formal logic, and they are built on-the-fly by software agents observing the
behavior of users/inhabitants, and gathering knowledge about preferences
expressed in terms of logical specifications. A 3-level structure of agents has
been introduced to support IoT inference. These agents cooperate with each
other basing on the graph representation of the system knowledge. An example of
such a system is presented.Comment: 10th International Conference on Intelligent Environments (IE'14),
9th Workshop on Artificial Intelligence Techniques for Ambient Intelligence
(AITAmI'14), Shanghai, China, 30th June-1st of July 201