A biologically inspired protocol draws its design principles from natural biological systems. These systems often mimic processes like evolution, self-organization, or swarm intelligence to achieve robust and adaptive network behaviors. Such designs aim to enhance decentralization, fault tolerance, and scalability within blockchain or distributed ledger technologies. They seek to create more resilient and efficient digital asset systems.
Context
Discussions around biologically inspired protocols frequently center on their potential to resolve scalability and security issues prevalent in current blockchain architectures. Researchers explore these designs for next-generation consensus mechanisms or network routing solutions. Their application could significantly alter how distributed networks manage data and transactions.
Proof-of-Spiking-Neurons introduces a new consensus class, modeling block proposal as competitive neural firing to achieve BFT security with minimal overhead.
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