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Preface The area of AI planning and scheduling has seen important advances thanks to the application of constraint satisfaction and optimization techniques. Efficient constraint handling is important for real-world problems in planning, scheduling, and resource allocation to competing goal activities over time in the presence of complex state-dependent constraints. Approaches to these problems must integrate resource allocation and plan synthesis capabilities. We need to manage complex problemsdoi:10.1016/j.engappai.2008.03.007 fatcat:7dv2wdwsmrednf7t6yltucr23y