<sod>'''Automated planning and scheduling''', in the relevant literature often denoted as simply '''planning''', is a branch of [[artificial intelligence]] that concerns the realization of [[strategy|strategies]] or action sequences, typically for execution by [[intelligent agent]]s, [[autonomous robot]]s and [[unmanned aerial vehicle|unmanned vehicles]]. Unlike classical [[control system|control]] and [[Statistical classification|classification]] problems, the solutions are complex and must be discovered and optimized in multidimensional space. Planning is also related to [[decision theory]].<eod>
<sod>'''Automated planning and scheduling''', sometimes denoted as simply '''planning'''{{fact}}, is a branch of [[artificial intelligence]] that concerns the realization of [[strategy|strategies]] or action sequences, typically for execution by [[intelligent agent]]s, [[autonomous robot]]s and [[unmanned aerial vehicle|unmanned vehicles]]. Unlike classical [[control system|control]] and [[Statistical classification|classification]] problems, the solutions are complex and must be discovered and optimized in multidimensional space. Planning is also related to [[decision theory]].<eod>