Computer Science – Artificial Intelligence
Scientific paper
2011-09-26
Journal Of Artificial Intelligence Research, Volume 20, pages 145-148, 2003
Computer Science
Artificial Intelligence
Scientific paper
10.1613/jair.1996
PDDL2.1 was designed to push the envelope of what planning algorithms can do, and it has succeeded. It adds two important features: durative actions,which take time (and may have continuous effects); and objective functions for measuring the quality of plans. The concept of durative actions is flawed; and the treatment of their semantics reveals too strong an attachment to the way many contemporary planners work. Future PDDL innovators should focus on producing a clean semantics for additions to the language, and let planner implementers worry about coupling their algorithms to problems expressed in the latest version of the language.
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