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Update generative_economics.tex #10

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2 changes: 1 addition & 1 deletion generative_economics.tex
Expand Up @@ -116,7 +116,7 @@ \section{The Generative Calculus}
Consensus protocols with a linear/block data model such as Bitcoin and Ethereum are fundamentally incompatible with the advent of microservice architectures which define the paradigm of network architecture for large scale data processing systems.
In most cases they are distributed systems that operate in serial, which is antithetical to the concurrent underpinnings of distributed systems; horizontal scalability and efficient data locality.
In order to apply the utility of a distributed consensus protocol to large scale data processing systems, they must be fully compatible with dynamic scaling and deployment features such as elastic deployment and dynamic partitioning.
As the backbone to Cruyptocurrencies the economic incentive to provide computational resources, a key requirement is the ability for their validator rewards models to dynamically adjust in tandem with network organization.
As the backbone to Cryptocurrencies the economic incentive to provide computational resources, a key requirement is the ability for their validator rewards models to dynamically adjust in tandem with network organization.
An emerging class of consensus protocols overcome these limitations with a nonlinear data model known as a directed acyclic graph (DAG.)
HGTP, the core technology developed from the Cohomology Theory of Blockchain Technology and backbone of the HyperGraph Network will be referenced periodically throughout the rest of this work as a real world technology that implement these principles.

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