Current computers process information based on transistors and electrical signals. The futuristic chemical computers will store, process, and convey information by using molecules, their assemblies, and physical-chemical signals. It is possible to compute by exploiting single molecules or large collections of them. Different kinds of logic can be processed. Since molecules obey the laws of quantum-mechanics, quantum logic can be implemented, as long as decoherent effects are avoided. If the collapse of superimposed or entangled wave-functions is inevitable, molecules can still be used to process either Boolean or discrete multi-valued or fuzzy logic. The conditions favourable to chemically process the infinite-valued fuzzy logic are presented in this text and few examples of its chemical implementation are reported. Fuzzy logic is particularly important for the development of artificial intelligence because it models pretty well human decision making. This property is due to the structural analogies existing between fuzzy logic systems and human nervous system.

Processing Fuzzy Logic by Molecules

GENTILI, Pier Luigi
2013

Abstract

Current computers process information based on transistors and electrical signals. The futuristic chemical computers will store, process, and convey information by using molecules, their assemblies, and physical-chemical signals. It is possible to compute by exploiting single molecules or large collections of them. Different kinds of logic can be processed. Since molecules obey the laws of quantum-mechanics, quantum logic can be implemented, as long as decoherent effects are avoided. If the collapse of superimposed or entangled wave-functions is inevitable, molecules can still be used to process either Boolean or discrete multi-valued or fuzzy logic. The conditions favourable to chemically process the infinite-valued fuzzy logic are presented in this text and few examples of its chemical implementation are reported. Fuzzy logic is particularly important for the development of artificial intelligence because it models pretty well human decision making. This property is due to the structural analogies existing between fuzzy logic systems and human nervous system.
2013
9781624171512
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11391/1092265
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