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| <big>'''Artificial Super Organisms'''</big>
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| '''Introduction'''
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| Super organisms such as bees, ants, and termites have superior efficiency in doing resilient, intensive, and complex tasks that have allowed them to adapt, evolve, and survive for a lengthy period of time<ref>Your Source</ref>. This behavioral system can be artificially induced to create 'hive' like server architecture that can be programed to do agnostic functional computation independently with minimum human interference. Such that a human (or so we hope) positioned for the responsibility of owning the artificial hive would act as a beekeeper moving the hive to its proper location, protecting it from black swans, etc.
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| '''Architecture'''
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| Based upon the laws of nature, the structure of such an artificial super organism would be replicable from a fractal based perspective. This architecture would look very much alike from quantized levels (network > server > application/db > code base). Each level having the same basic design, decentralized networking of nodes each with an algorithmic function of f(x) = y.
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| '''Technical'''
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| From the application perspective of this exercise, we can define each node as a micro-app written on the NodeJS platform, chosen for its decentralized structure, versatile practicality, and low processing intensiveness<ref>Your Source</ref>. Using a series of unique nodes as the initialization state, each node can be trained using neural networks/machine learning to do one of four tasks: worker, guard, librarians, oligarchy. A worker node accomplishes the learned tasks, unique to the purpose of application (eg: text analytics, image recognition, mathematical computation); the guard assigned to security enforcement functionality; librarians contain data; the oligarchy regulates policies to run the hive such as a queen in a colony. Each individual node can be replicated once the initial states are set. To accomplish a decentralized hive like structure for this exercise, individual node pathways may be configured in peer-to-peer (P2P) networks, forming a de facto blockchain as each node contains its own machine learned algorithm once a PGP layer is added<ref>Your Source</ref>.
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| <br>
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| <hr>
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| For more information, please contact me at: <br>
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| louis.huang@aegia.nu | +1.202.600.8398
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