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Automated planning and scheduling, sometimes denoted as simply AI planning, [1] is a branch of artificial intelligence that concerns the realization of strategies or action sequences, typically for execution by intelligent agents, autonomous robots and unmanned vehicles.
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HTN planning is strictly more expressive than STRIPS, to the point of being undecidable in the general case. [10] However, many syntactic restrictions of HTN planning are decidable, with known complexities ranging from NP-complete to 2-EXPSPACE-complete , [ 11 ] and some HTN problems can be efficiently compiled into PDDL , a STRIPS-like language.
The Stanford Research Institute Problem Solver, known by its acronym STRIPS, is an automated planner developed by Richard Fikes and Nils Nilsson in 1971 at SRI International. [1] The same name was later used to refer to the formal language of the inputs to this planner.
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Graphplan takes as input a planning problem expressed in STRIPS and produces, if one is possible, a sequence of operations for reaching a goal state. The name graph plan is due to the use of a novel planning graph , to reduce the amount of search needed to find the solution from straightforward exploration of the state space graph .
The scheduler is an operating system module that selects the next jobs to be admitted into the system and the next process to run. Operating systems may feature up to three distinct scheduler types: a long-term scheduler (also known as an admission scheduler or high-level scheduler), a mid-term or medium-term scheduler, and a short-term scheduler.
In 2003 Printing World magazine reported that Springer-Verlag was planning to implement an automated page production process. Dr. Patrick Thibor of Springer was quoted as saying "we believe that 3B2 is the only tool available for automated page make up and will enable us to meet our goal of totally automatic production of pages". [3]