Constraint satisfaction is a simple but powerful tool. Constraints identify the impossible and reduce the realm of possibilities to effectively focus on the possible, allowing for a natural declarative formulation of what must be satisfied, without expressing how. The field of constraint reasoning has matured over the last three decades with contributions from a diverse community of researchers in artificial intelligence, databases and programming languages, operations research, management science, and applied mathematics. Today, constraint problems are used to model cognitive tasks in...

As computer science enters the new millennium, methods and languages for reasoning with constraints have come to play an important role, with both t- oretical advances and practical applications. Constraints have emerged as the basis of a representational and computational paradigm that draws from many disciplinesandcanbebroughttobearonmanyproblemdomains, includingar- ?cial intelligence, databases, and combinatorial optimization. The conference is concerned with all aspects of computing with constraints including algorithms, applications, environments, languages, models and systems. The Sixth...

The field of Artificial Intelligence has changed a great deal since
the 80s, and arguably no one has played a larger role in that
change than Judea Pearl. Judea Pearls work made probability
the prevailing language of modern AI and, perhaps more
significantly, it placed the elaboration of crisp and meaningful
models, and of effective computational mechanisms, at the
center of AI research. This book is a collection of articles in
honor of Judea Pearl, written by close colleagues and former
students. Its three main parts, heuristics, probabilistic
reasoning, and causality, correspond to the...