Abstract
Computing with words, CWW, is considered in the context of natural language functioning, unifying language with thinking. Previous attempts at modeling natural languages as well as thinking processes in artificial intelligence have met with computational complexity. To overcome computational complexity we use dynamic logic (DL), an extension of fuzzy logic describing fuzzy to crisp transitions. We suggest a possible architecture motivated by mathematical and neural considerations. We discuss the reasons why CWW has to be modeled jointly with thinking and propose an architecture consistent with brain neural structure and with a wealth of psychological knowledge. The proposed architecture implies the existence of relationships between languages and cultures. We discuss these implications for further evolution of English and Chinese cultures, and for cultural effects of interactions between natural languages and CWW.
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