Based on an AI course taught by the author, this book is an introduction to Prolog programming for artifical intelligence that covers both basic and advanced AI material. The unique advantage of the book is the combination of AI, Prolog, and Logic. It seeks to simplify the basic concepts of logic programming, a useful framework for explaining AI techniques.

This volume was motivated by the Year of Prolog initiative, launched to celebrate the 50th anniversary of the emergence of Prolog through the work of Alain Colmerauer’s team in Marseille. The volume editors, authors, and scientific advisors and reviewers have been the leading researchers and programmers in this field over decades, and the book represents an excellent overview of the field, its successes, and its future. After a first chapter that gently introduces the Prolog programming language using examples, the next 7 papers discuss general views of the language, possible extensions for the future, and how Prolog can generally be used to solve problems; the next 5 papers explore ideas and experiences of teaching Prolog programming and then 2 papers discuss technology that has been developed for help in that teaching; the next 3 papers describe new languages based on Prolog which show future directions for logic programming; the next 5 chapters explain the applications that were the finalists for the 2022 Alain Colmerauer Prize; and the final 8 papers describe applications developed using the Prolog language, demonstrating the language’s range.

Neuro-symbolic AI is an emerging subfield of Artificial Intelligence that brings together two hitherto distinct approaches. ”Neuro” refers to the artificial neural networks prominent in machine learning, ”symbolic” refers to algorithmic processing on the level of meaningful symbols, prominent in knowledge representation. In the past, these two fields of AI have been largely separate, with very little crossover, but the so-called “third wave” of AI is now bringing them together. This book, Neuro-Symbolic Artificial Intelligence: The State of the Art, provides an overview of this development in AI. The two approaches differ significantly in terms of their strengths and weaknesses and, from a cognitive-science perspective, there is a question as to how a neural system can perform symbol manipulation, and how the representational differences between these two approaches can be bridged. The book presents 17 overview papers, all by authors who have made significant contributions in the past few years and starting with a historic overview first seen in 2016. With just seven months elapsed from invitation to authors to final copy, the book is as up-to-date as a published overview of this subject can be. Based on the editors’ own desire to understand the current state of the art, this book reflects the breadth and depth of the latest developments in neuro-symbolic AI, and will be of interest to students, researchers, and all those working in the field of Artificial Intelligence.

This book constitutes the refereed proceedings of the 7th International Symposium on Practical Aspects of Declarative Languages, PADL 2005, held in Long Beach, CA, USA in January 2005. The 17 revised full papers presented together with the abstracts of 2 invited talks were carefully reviewed and selected from 36 submissions. All current aspects of declarative programming are addressed including implementational issues and applications in areas such as database management, active networks, software engineering, decision support systems, and music composition.

This book provides an introduction to probabilistic inductive logic programming. It places emphasis on the methods based on logic programming principles and covers formalisms and systems, implementations and applications, as well as theory.

This book constitutes the thoroughly refereed and revised post-workshop proceedings of two international meetings devoted to deductive databases and logic programming. The technical papers presenting original research results were carefully reviewed and selected for inclusion in the present book, together with several survey articles summarizing the state of the art in the area. Thus, the book is the ultimate reference for anybody interested in the theory and application of deductive databases and logic programming.