TY - BOOK ID - 136904642 TI - The Fuzziness in Molecular, Supramolecular, and Systems Chemistry PY - 2020 PB - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - fuzzy logic KW - complexity KW - chemical artificial intelligence KW - human nervous system KW - fuzzy proteins KW - conformations KW - photochromic compounds KW - qubit KW - protein dynamics KW - conformational heterogeneity KW - promiscuity KW - fuzzy complexes KW - higher-order structures KW - protein evolution KW - fuzzy set theory KW - artificial intelligence KW - GCN4 mimetic KW - peptides–DNA KW - E:Z photoisomerization KW - conformational fuzziness KW - photoelectrochemistry KW - wide bandgap semiconductor KW - artificial neuron KW - in materio computing KW - neuromorphic computing KW - intrinsically disordered protein KW - intrinsically disordered protein region KW - liquid–liquid phase transition KW - protein–protein interaction KW - protein–nucleic acid interaction KW - proteinaceous membrane-less organelle KW - fuzzy complex. KW - d-TST KW - activation energy KW - Transitivity plot KW - solution kinetic KW - Maxwell–Boltzmann path KW - Euler’s formula for the exponential KW - activation KW - transitivity KW - transport phenomena KW - moonlighting proteins KW - intrinsically disordered proteins KW - metamorphic proteins KW - morpheeins KW - n/a KW - peptides-DNA KW - liquid-liquid phase transition KW - protein-protein interaction KW - protein-nucleic acid interaction KW - Maxwell-Boltzmann path KW - Euler's formula for the exponential UR - https://www.unicat.be/uniCat?func=search&query=sysid:136904642 AB - Fuzzy Logic is a good model for the human ability to compute words. It is based on the theory of fuzzy set. A fuzzy set is different from a classical set because it breaks the Law of the Excluded Middle. In fact, an item may belong to a fuzzy set and its complement at the same time and with the same or different degree of membership. The degree of membership of an item in a fuzzy set can be any real number included between 0 and 1. This property enables us to deal with all those statements of which truths are a matter of degree. Fuzzy logic plays a relevant role in the field of Artificial Intelligence because it enables decision-making in complex situations, where there are many intertwined variables involved. Traditionally, fuzzy logic is implemented through software on a computer or, even better, through analog electronic circuits. Recently, the idea of using molecules and chemical reactions to process fuzzy logic has been promoted. In fact, the molecular word is fuzzy in its essence. The overlapping of quantum states, on the one hand, and the conformational heterogeneity of large molecules, on the other, enable context-specific functions to emerge in response to changing environmental conditions. Moreover, analog input–output relationships, involving not only electrical but also other physical and chemical variables can be exploited to build fuzzy logic systems. The development of “fuzzy chemical systems” is tracing a new path in the field of artificial intelligence. This new path shows that artificially intelligent systems can be implemented not only through software and electronic circuits but also through solutions of properly chosen chemical compounds. The design of chemical artificial intelligent systems and chemical robots promises to have a significant impact on science, medicine, economy, security, and wellbeing. Therefore, it is my great pleasure to announce a Special Issue of Molecules entitled “The Fuzziness in Molecular, Supramolecular, and Systems Chemistry.” All researchers who experience the Fuzziness of the molecular world or use Fuzzy logic to understand Chemical Complex Systems will be interested in this book. ER -