Three-dimensional artificial organism model developed upon a two-layer coarse-fine-grid network approach
Author(s) -
Cs. Szász
Publication year - 2017
Publication title -
international review of applied sciences and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.165
H-Index - 5
eISSN - 2063-4269
pISSN - 2062-0810
DOI - 10.1556/1848.2017.8.2.4
Subject(s) - computer science , grid , layer (electronics) , field programmable gate array , distributed computing , organism , grid cell , field (mathematics) , topology (electrical circuits) , artificial intelligence , computer architecture , embedded system , nanotechnology , engineering , mathematics , biology , paleontology , materials science , geometry , pure mathematics , electrical engineering
In an attempt to devise a model which more closely imitates cellular biology a three-dimensional (3D) artificial organism model developed upon a two-layer coarse-fine-grid network model is proposed in this paper. The strength of this original approach is that it endeavors to capture the complexity of both the cellular networks as well as that of the biological cell itself, by implementing the internal biological phenomena of an organism into a 3D two different network topology hardware layer. In essence, this model not only keeps the full advantages of previously created 2D models that enable the implementation of similar self-replicating or selfrepairing abilities akin to those expressed by its cellular equivalents in nature, but there the inherent need of artificial cell structures to fulfill the entire role of a biological cell in the network is also expressed. Computer-aided simulation results prove that this kind of 3D coarse-fine-grid approach is well feasible physically therefore the model has been implemented into a computing platform made of custom reconfigurable Field Programmable Gate Array (FPGA) processors.
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