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
Link To Document :
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