Science is urged to win the Complexity Challenges. One strategy to reach this goal consists in developing Artificial Intelligence because the human nervous system is a prototype of Natural Complex System that can solve few Computational Complexity problems quite easily. To try to understand human intelligence at the "implementation level", we are proposing chromogenic compounds as surrogates of natural sensory elements. Since Fuzzy logic is the best model of human ability to compute with words, two methodologies to implement Fuzzy logic by a chromogenic spirooxazine are described. Moreover, a new definition of Colourability of a chromogenic material, based on the mathematical Theory of Information, is presented.
The fuzziness of a chromogenic spirooxazine
GENTILI, Pier Luigi
2014
Abstract
Science is urged to win the Complexity Challenges. One strategy to reach this goal consists in developing Artificial Intelligence because the human nervous system is a prototype of Natural Complex System that can solve few Computational Complexity problems quite easily. To try to understand human intelligence at the "implementation level", we are proposing chromogenic compounds as surrogates of natural sensory elements. Since Fuzzy logic is the best model of human ability to compute with words, two methodologies to implement Fuzzy logic by a chromogenic spirooxazine are described. Moreover, a new definition of Colourability of a chromogenic material, based on the mathematical Theory of Information, is presented.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
