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in this paper, we proposed a new type of decisionmaking system to achieve the intelligent goal for automated smart environments. The artificial intelligence techniques, used as building blocks to understand inhabitant activity patterns. The collected information fused to a central inference engine based on Hidden Markov model and Fuzzy rules for taking appropriate actions to communicate and control various home appliances. We proposed a novel CASH (cognitive automated smart home) architecture, based on the Hidden Markov Model and the fuzzy rule based system. The Hidden Markov Model and fuzzy rules are well equipped to address the spatio-temporal activity pattern recognition problem and to trigger appropriate task execution rules. Keywords— home automation; rule mining; smart home; artificial intelligence; expert system; cyber physical system.

Home automation:HMM based fuzzy rule engine for Ambient intelligent smart space