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== Domain independent planning ==
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In AI planning, planners typically input a ___domain model (a description of a set of possible actions which model the ___domain) as well as the specific problem to be solved specified by the initial state and goal, in contrast to those in which there is no input ___domain specified. Such planners are called "___domain independent" to emphasis the fact that they can solve planning problems from a wide range of domains. Typical examples of domains are block stacking, logistics, workflow management, and robot task planning. Hence a single ___domain independent planner can be used to solve planning problems in all these various domains. On the other hand, a route planner is typical of a ___domain specific planner.▼
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▲In AI planning, planners typically input a ___domain model (a description of a set of possible actions which model the ___domain) as well as the specific problem to be solved specified by the initial state and goal, in contrast to those in which there is no input ___domain specified. Such planners are called "___domain independent" to
== Planning ___domain modelling languages{{anchor|Planning_languages}} ==
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