The fuzziness of a chromogenic spirooxazine

• Chromogenic compounds are promising sensors in Chemical Artificial Intelligence.
• We propose a new definition of Colourability based on the Theory of Information.
• We present a vector representation of the chromogenic transformations.
• We describe two methodologies for implementing Fuzzy logic at the molecular level.
• The Maximum Entropy Method unveils the distribution of merocyanine conformers.

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.