Angelo Oddi – författare

Bringing artificial intelligence planning and scheduling applications into the real world is a hard task that is receiving more attention every day by researchers and practitioners from many fields. In many cases, it requires the integration of several underlying techniques like planning, scheduling, constraint satisfaction, mixed-initiative planning and scheduling, temporal reasoning, knowledge representation, formal models and languages, and technological issues. Most papers included in this book are clear examples on how to integrate several of these techniques. Furthermore, the book also covers many interesting approaches in application areas ranging from industrial job shop to electronic tourism, environmental problems, virtual teaching or space missions. This book also provides powerful techniques that allow to build fully deployable applications to solve real problems and an updated review of many of the most interesting areas of application of these technologies, showing how powerful these technologies are to overcome the expresiveness and efficiency problems of real world problems.

Constraint programming (CP) is a powerful programming paradigm for the declarativedescription and the e?ective solving of largecombinatorialproblems. Basedonastrongtheoreticalfoundation,itisincreasinglyattractingcommercial interest. Since the 1990s, CP has been deployed by many industry leaders, in particular to model heterogeneous optimization and satisfaction problems. - amples of application domains where such problems naturally arise, and where constraint programming has made a valuable contribution, are scheduling, p- duction planning, communication networks, routing, planning of satellite m- sions, robotics, and bioinformatics. This volumecontainsthe papers selectedfor the post-proceedingsof the13th International Workshop on Constraint Solving and Constraint Logic Progr- ming(CSCLP2008)heldduringJune18-20,2008inRome,Italy.Thisworkshop was organized as the 13th meeting of the working group on Constraints of the EuropeanResearchConsortiumforInformaticsandMathematics(ERCIM),c- tinuing a series of workshops organized since the creation of the working group in 1997.A selection of papers of these annual workshops plus some additional contributions have been published since 2002 in a series of volumes which ill- trate the evolutioninthe ?eld, under the title "RecentAdvances in Constraints" in the Lecture Notes in Arti?cial Intelligence series.