DocumentCode
2951141
Title
Artificial Organic Networks
Author
Ponce, Hiram ; Ponce, Pedro
Author_Institution
Grad. Sch. in Eng. & Archit., Tecnol. de Monterrey, Mexico City, Mexico
fYear
2011
fDate
15-18 Nov. 2011
Firstpage
29
Lastpage
34
Abstract
This paper introduces a novel artificial intelligence technique bio-inspired on organic chemistry: Artificial Organic Networks (AON). In fact, organic compounds present several characteristics as stability, well-formed molecules, and easily-spanning. Thus, these compounds can be taken as inspiration in which a primitive structure assures stability in itself, and then some of these structures might be mixed in order to form more complex structures in a natural and easy way, also assuring stability. In this context, there exists the opportunity to investigate and to create new organic structures, not only based on primary elements. Thus, organic chemistry knowledge and mathematical formalization are applied into this new algorithm. Moreover, Artificial Hydrocarbon Networks (AHN), particular artificial organic compounds, are also defined and implemented.
Keywords
artificial intelligence; chemistry computing; network theory (graphs); organic compounds; AHN; AON; artificial hydrocarbon networks; artificial intelligence technique; artificial organic compounds; artificial organic networks; complex structures; easily-spanning; mathematical formalization; organic chemistry knowledge; organic structures; stability; well-formed molecules; Atomic measurements; Carbon; Hydrocarbons; Organic compounds; Artificial intelligence; hydrocarbons; organic compounds; organic networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Robotics and Automotive Mechanics Conference (CERMA), 2011 IEEE
Conference_Location
Cuernavaca, Morelos
Print_ISBN
978-1-4577-1879-3
Type
conf
DOI
10.1109/CERMA.2011.12
Filename
6125798
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