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. All things considered, Fox and Long have done a terrific job producing PDDL2.1. I know from experience tha...
Planning is the branch of Artificial Intelligence (AI) that seeks to automate reasoning about plans,...
In many read-world planning domains, generating good plan quality is a central issue. This is especi...
The international planning competition (IPC) is an important driver for planning research. The gene...
pddl was originally conceived and constructed as a lingua franca for the International Planning Comp...
pddl was originally conceived and constructed as a lingua franca for the International Planning Comp...
The notion of plan qualityin automated planning is a practically very important issue. In many real-...
In order to make planning technology more accessible and usable the planning community may have to a...
The planning domain language PDDL2.1, used in the 3rd International Planning Competition, has sparke...
The last decade has witnessed a dramatic progress in the variety and performance of techniques and t...
The Planning Domain Definition Language (PDDL) is a formal specification language for symbolic plann...
In recent years research in the planning community has moved increasingly towards application of pla...
In recent years research in the planning community has moved increasingly towards application of pla...
Domain control knowledge (DCK) has proven effective in improving the efficiency of plan generation b...
In recent years research in the planning community has moved increasingly towards application of pla...
Domain control knowledge (DCK) has proven effective in improving the efficiency of plan generation b...
Planning is the branch of Artificial Intelligence (AI) that seeks to automate reasoning about plans,...
In many read-world planning domains, generating good plan quality is a central issue. This is especi...
The international planning competition (IPC) is an important driver for planning research. The gene...
pddl was originally conceived and constructed as a lingua franca for the International Planning Comp...
pddl was originally conceived and constructed as a lingua franca for the International Planning Comp...
The notion of plan qualityin automated planning is a practically very important issue. In many real-...
In order to make planning technology more accessible and usable the planning community may have to a...
The planning domain language PDDL2.1, used in the 3rd International Planning Competition, has sparke...
The last decade has witnessed a dramatic progress in the variety and performance of techniques and t...
The Planning Domain Definition Language (PDDL) is a formal specification language for symbolic plann...
In recent years research in the planning community has moved increasingly towards application of pla...
In recent years research in the planning community has moved increasingly towards application of pla...
Domain control knowledge (DCK) has proven effective in improving the efficiency of plan generation b...
In recent years research in the planning community has moved increasingly towards application of pla...
Domain control knowledge (DCK) has proven effective in improving the efficiency of plan generation b...
Planning is the branch of Artificial Intelligence (AI) that seeks to automate reasoning about plans,...
In many read-world planning domains, generating good plan quality is a central issue. This is especi...
The international planning competition (IPC) is an important driver for planning research. The gene...