About the book
In the last years, blockchain and distributed ledger technologies (DLTs) have evolved significantly with the objective of providing secure communications, data privacy, cyber-attack resilience and easy deployment/maintenance in multiple fields. Such an evolution, together with the advances in smart contracts, can play a relevant role in the future of decentralized applications. Moreover, Artificial Intelligence (AI) and its different sub-disciplines (e.g., Machine Learning, Deep Learning, Bayesian networks) can enhance blockchains and DLTs in order to provide advanced features like autonomous decision-support systems or intelligent blockchain-enabled services. Furthermore, AI-based applications can benefit from blockchains and DLTs thanks to their ability to allow for accessing trustworthy shared data in insecure environments like the Internet. In this complex scenario, this book looks for shedding light on the potential of the joint use of blockchain and AI, both from a theoretical and a practical point of view, in order to guide the next generation of researchers and developers of AI-enabled blockchain/DLT-based applications.