Description: Two leading artificial intelligence experts cover the key issues associated with real-time and reactive planning in intelligent agent systems. Start by understanding the domains -- from toy to real-world -- that have been used to develop and test planning systems. Walk through a detailed case study: a sample real-world, real-time domain covering flight planning. Compare systems that make decisions at planning and execution times, and identify a framework for deciding when to plan and when to react. Understand leading approaches such as Brooks' subsumption architecture, Rosenschein/Kaelbling's situated automata; Schoppers' universal planning, and more. Finally, review real-time planning frameworks and new extensions that overcome many of their limitations, including a new language framework for describing reactive behaviors.

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