Francesca Rossi

TL;DR: Researchers from other fields should find in this handbook an effective way to learn about constraint programming and to possibly use some of the constraint programming concepts and techniques in their work, thus providing a means for a fruitful cross-fertilization among different research areas.

TL;DR: The core opportunities and risks of AI for society are introduced; a synthesis of five ethical principles that should undergird its development and adoption are presented; and 20 concrete recommendations are offered to serve as a firm foundation for the establishment of a Good AI Society.

TL;DR: It is shown how this framework can be used to model both old and new constraint solving and optimization schemes, thus allowing one to both formally justify many informally taken choices in existing schemes, and to prove that local consistency techniques can beused also in newly defined schemes.

TL;DR: The algebraic approaches to graph transformation are based on the concept of gluing of graphs, modelled by pushouts in suitable categories of graphs and graph morphisms, which allows one not only to give an explicit algebraic or set theoretical description of the constructions, but also to use concepts and results from category theory in order to build up a rich theory and to give elegant proofs even in complex situations as discussed by the authors.

TL;DR: This paper describes and compares two frameworks for constraint solving where classical CSPs, fuzzy C SPs, weighted CSP’s, partial constraint satisfaction, and others can be easily cast.