Constraint handling rules

More about the book

The Constraint Handling Rules (CHR) language has evolved over 15 years into a significant declarative specification and implementation language for constraint-based algorithms. Recent workshops have fostered idea exchange within the CHR community, leading to international collaboration, new theoretical insights, and optimized implementations. This volume of Lecture Notes in Artificial Intelligence aims to showcase high-quality research on recent advancements in CHR. It includes 8 selected papers from 11 submissions, each rigorously reviewed by three reviewers. The accepted papers highlight leading research teams globally, with a notable representation from the most active group, contributing three articles. While contributions from other teams were desired, space constraints and thorough reviews guided the selection process. The volume begins with an introductory article that sets the stage for an upcoming monograph on CHR. The accepted papers cover a variety of current research topics, including enhancements to the CHR language with search capabilities, generating rules from constraint solver specifications, and implementing abductive probabilistic reasoning. They also delve into compositional semantics for CHR and efficient implementations in mainstream programming languages, alongside compiler optimizations related to refined semantics. Appreciation is extended to the authors and reviewers for their contributions to this re