Defeasible Contextual Reasoning with Arguments in Ambient Intelligence

@article{Bikakis2010DefeasibleCR,
  title={Defeasible Contextual Reasoning with Arguments in Ambient Intelligence},
  author={Antonis Bikakis and Grigoris Antoniou},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2010},
  volume={22},
  pages={1492-1506}
}
The imperfect nature of context in Ambient Intelligence environments and the special characteristics of the entities that possess and share the available context information render contextual reasoning a very challenging task. The accomplishment of this task requires formal models that handle the involved entities as autonomous logic-based agents and provide methods for handling the imperfect and distributed nature of context. This paper proposes a solution based on the Multi-Context Systems… CONTINUE READING
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