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Creating the highly automated environment that network operators and digital service providers will need in the near future requires the support of intelligent agents that are able to work collaboratively. At Ericsson, we believe that the most effective way to create such intelligent agents is by combining machine reasoning and machine learning techniques.
This Ericsson Technology Review article explains the role that these two cognitive technologies play in the creation of intelligent agents that have a detailed semantic understanding of the world and their own individual contexts. It also includes two proofs of concept that help demonstrate how the combination of machine reasoning and machine learning techniques makes it possible to create intelligent agents that are able to learn from diverse inputs, and share or transfer experience between contexts.