Building A Hyperdimensional Neuro-Symbolic Blockchain with PBFT Consensus
Introduction
The convergence of blockchain technology with artificial intelligence represents a significant leap forward in the development of secure, efficient and intelligent distributed systems. In this comprehensive guide I dive into the construction of a blockchain system that integrates Neuro-Symbolic AI, Hyperdimensional Computing and Practical Byzantine Fault Tolerance (PBFT) consensus.
Our journey begins with the mathematical underpinnings of hyperdimensional computing and the PBFT algorithm, setting the stage for a detailed code walkthrough. We will explore how hyperdimensional vectors enable robust data representation and how PBFT ensures consensus despite faulty or malicious nodes.
By simulating a network of peers executing smart contracts and engaging in secure transactions, we will analyse the results to understand the benefits and potential of this approach. This guide aims to provide both a theoretical and practical understanding of building a neuro-symbolic blockchain system, highlighting its advantages over traditional methods.
