FUZZY INTERPRETATION OF HUMAN INTELLIGENCE
Saeed Bagheri Shouraki, Nakaji Honda, GO YUASA · International Journal of Uncertainty Fuzziness and Knowledge-Based Systems · 1999
In this paper, introducing a new hardware concept which has the ability of FUZZY computation in a non-exact naturally FUZZY method, outlines of human brain simulation in hardware level will be presented. It will be shown that a soft computer may be implemented by using unique hardware structures for processor and memory units. Considering the learning procedure of human being and simulating it, using the introduced soft computer, a total energy decreasing trend will be observed in the soft computer structure. The generalization of this trend will be regarded as an equivalent concept for human intelligence. Therefore, complicated concepts such as human intelligence and also imagination and inference procedures may appear as natural abilities of the proposed soft computer. It also will be shown, when starting with observing a phenomenon, the whole procedure, from modeling to controller designing, including the recognition of goal function and effective inputs, may be done automatically and in an intelligent way.