Denise Draper - Academia.edu (original) (raw)
Address: Hansville, Washington, United States
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... we need to represent the agent's incomplete state of information about the world we ... more ... we need to represent the agent's incomplete state of information about the world we need to represent the di erence between changes an action makes to the world and changes an action makes to the agent's state of information about the world ...
... paint to create green. The get-paint operator su ces to get all other colors.10 Name: (MAKE-G... more ... paint to create green. The get-paint operator su ces to get all other colors.10 Name: (MAKE-GREEN-PAINT) Preconds: (satisfy ((have-color blue) . T)) (satisfy ((have-color yellow) . T)) Postconds: (cause ((have-color green) . T)) ...
AI planning algorithms have addressed theproblem of generating sequences of operatorsthat achieve... more AI planning algorithms have addressed theproblem of generating sequences of operatorsthat achieve some input goal, usuallyassuming that the planning agent hasperfect control over and information aboutthe world. Relaxing these assumptions requiresan extension to the action representationthat allows reasoning both about thechanges an action makes and the informationit provides. This paper presents an actionrepresentation that extends the deterministicSTRIPS model, allowing...
... we need to represent the agent's incomplete state of information about the world we ... more ... we need to represent the agent's incomplete state of information about the world we need to represent the di erence between changes an action makes to the world and changes an action makes to the agent's state of information about the world ...
... paint to create green. The get-paint operator su ces to get all other colors.10 Name: (MAKE-G... more ... paint to create green. The get-paint operator su ces to get all other colors.10 Name: (MAKE-GREEN-PAINT) Preconds: (satisfy ((have-color blue) . T)) (satisfy ((have-color yellow) . T)) Postconds: (cause ((have-color green) . T)) ...
AI planning algorithms have addressed theproblem of generating sequences of operatorsthat achieve... more AI planning algorithms have addressed theproblem of generating sequences of operatorsthat achieve some input goal, usuallyassuming that the planning agent hasperfect control over and information aboutthe world. Relaxing these assumptions requiresan extension to the action representationthat allows reasoning both about thechanges an action makes and the informationit provides. This paper presents an actionrepresentation that extends the deterministicSTRIPS model, allowing...