The NeuroChain consensus, Proof of Involvement and Integrity (PII), is based on entropy, enthalpy and score of integrity using diffusion models. This consensus is inspired from particle physics and thermodynamics. Its main features are scalability, flexibility, self-adaptability and consistency. The leader election process relies on the activity, the legacy and the integrity of the bots. In addition, the network is considered as a Bayesian network where each node is replaced by a bot, and the thermodynamic theory (the unique universal theory in physics) is particularly appropriate to probe the network. Compared to this new approach, the consensus (Proof of Work) used by Bitcoin and Ethereum
cannot face the challenges of security, scalability and complexity.
Furthermore, for the distributed intelligence in the network, proof of workflow is developed to ensure the security and the availability of the algorithms.
A few parameters of comparison with other Blockchains are given in the following table.
