COPLAS'08: 

The areas of AI planning and scheduling have seen important advances thanks to the application of constraint satisfaction models and techniques. Many important practical problems require efficient allocation of resources in the presence of complex state-dependent constraints. Therefore, solving these problems requires an adequate mixture of planning, scheduling and resource allocation to competing goal activities over time in the presence of complex state-dependent constraints; i.e., solutions to these problems must integrate resource allocation and plan synthesis capabilities, which can be efficiently managed by using constraint techniques.

The workshop will aim at providing a forum for researchers in the field of Artificial Intelligence to discuss novel issues on planning, scheduling, constraint programming/constraint satisfaction problems (CSPs) and many other common areas that exist among them. On the whole, the workshop will mainly focus on managing complex problems where planning, scheduling and constraint satisfaction must be combined and/or interrelated, which entails an enormous potential for practical applications and future research.

This workshop continues the trail of the successful COPLAS'06 and COPLAS'07 Workshop on Constraint Satisfaction Techniques for Planning and Scheduling Problems. Last year, the workshop was a joint workshop for both ICAPS and CP, which provided a broader audience and give the participants of both events the opportunity to exchange ideas and approaches that lead to a valuable and fruitful discussion, and inspire forthcoming research.

COPLAS 2008 Proceedings

COPLAS is ranked as CORE B in ERA Conference Ranking.

NOTE: Selected papers will be published in a special issue of The Knowledge Engineering Review (indexed in JCR-SCI)