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For 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. 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 the purpose of application; the guard assigned to security functionality; librarians contain data; the oligarchy the policies to run the hive such as a queen in a hive. Each individual node can be replicated once the initial states are set. Individual pathways for nodes can be networked in P2P format, forming a de facto blockchain network as the node contains its own machine learned algorithm once a PGP layer is added for security. | For 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. 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 the purpose of application; the guard assigned to security functionality; librarians contain data; the oligarchy the policies to run the hive such as a queen in a hive. Each individual node can be replicated once the initial states are set. Individual pathways for nodes can be networked in P2P format, forming a de facto blockchain network as the node contains its own machine learned algorithm once a PGP layer is added for security. | ||
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For more information, please contact me at: <br/> | For more information, please contact me at: <br/> | ||
louis.huang@aegia.nu | +1.202.600.8398 | louis.huang@aegia.nu | +1.202.600.8398 |
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