Toward a self-learned Smart Contracts

TL;DR

This paper explores the integration of artificial intelligence with blockchain technology to develop self-regulated smart contracts, highlighting key factors and potential automation benefits.

Contribution

It introduces the main factors influencing AI integration in blockchain and proposes a framework for building self-learned, autonomous smart contracts.

Findings

Identifies key factors affecting AI-blockchain integration

Proposes a framework for self-learned smart contracts

Highlights potential for automation and forecasting

Abstract

In recent years, Blockchain technology has been highly valued and disruptive. Several researches have presented a merge between blockchain and current application i.e. medical, supply chain, and e-commerce. Although Blockchain architecture does not have a standard yet, IBM, MS, AWS offer BaaS (Blockchain as a Service). In addition to the current public chains i.e. Ethereum, NEO, and Cardeno; there are some differences between several public ledgers in terms of development and architecture. This paper introduces the main factors that affect integration of Artificial Intelligence with Blockchain. As well as, how it could be integrated for forecasting and automating; building self-regulated chain.