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SMASH: a Semantic-enabled Multi-agent Approach for Self-adaptation of Human-centered IoT. In this code, we have considered the Smart Home as the case study of smart environments. SMASH agents are provided with a 4-layer architecture based on the BDI agent model that integrates human values with goal-reasoning, planning, and acting. It also takes advantage of a semantic-enabled platform called Home'In to address interoperability issues among non-identical agents and devices with heterogeneous protocols and data formats. This approach is validated by developing a scenario as the proof of concept. The timely responses of SMASH agents show the feasibility of the proposed approach in human-centered environments.

ASL 0.32% Java 0.56% Python 12.90% CMake 3.42% C 0.76% C++ 21.12% Makefile 60.94%
jacamo multiagent-systems

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