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Towards XMAS: eXplainability through Multi-Agent Systems
2019
International Conference of the Italian Association for Artificial Intelligence
In the context of the Internet of Things (IoT), intelligent systems (IS) are increasingly relying on Machine Learning (ML) techniques. Given the opaqueness of most ML techniques, however, humans have to rely on their intuition to fully understand the IS outcomes: helping them is the target of eXplainable Artificial Intelligence (XAI). Current solutions -mostly too specific, and simply aimed at making ML easier to interpret -cannot satisfy the needs of IoT, characterised by heterogeneous
dblp:conf/aiia/CiattoCOC19
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