According to the artificial
consciousness system implementation method and device, a multi-dimensional semantic state map is constructed based on a DIKWP * DIKWP mesh
cognitive model, and semantic jump and parallel
consciousness paths are achieved through hierarchical interaction of data, information, knowledge, intelligence and intention. According to the
system, an intention chain is triggered through external input, semantic
processing and reasoning are completed along a DIKWP path, and a closed-loop cognitive cycle is formed; a
consciousness BUG theory is introduced, and abnormalities such as semantic
distortion, target
dislocation and concept
distortion are monitored in real time and dynamically corrected; a self-modeling engine is combined to perceive and
record a state, and a self-atlas is constructed to optimize
cognition. The device comprises a sensor interface, a semantic
bus, a
processing module, a consciousness management module, a semantic reasoning module, a BUG monitoring module, a self-modeling module and the like, and
software and hardware are cooperatively realized. According to the method, the
interpretability, autonomy and reliability of AI are improved, and the method is suitable for semantic interaction fields such as intelligent
medical treatment, robots and intelligent assistants and has important application value.