Abstraction planning in real time

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abstract: When a planning agent works in a complex, real-world domain, it isunable to plan for and store all possible contingencies and problemsituations ahead of time. The agent needs to be able to fall backon an ability to construct plans at run time under time constraints.This thesis presents a method for planning at run time thatincrementally builds up plans at multiple levels of abstraction.The plans are continually updated by information from the world,allowing the planner to adjust its plan to a changing world duringthe planning process. All the information is represented overintervals of time, allowing the planner to reason about durations,deadlines, and delays within its plan. In addition to the method,the thesis presents a formal model of the planning process and usesthe model to investigate planning strategies. The method has beenimplemented, and experiments have been run to validate the overallapproach and the theoretical model.

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AbstractWhen a planning agent works in a complex, When a planning agent works in a complex, real-world domain, it isunable to plan for and store all possible contingencies and problemsituations ahead of time. The agent needs to be able to fall backon an ability to construct plans at run time under time constraints.This thesis presents a method for planning at run time thatincrementally builds up plans at multiple levels of abstraction.The plans are continually updated by information from the world,allowing the planner to adjust its plan to a changing world duringthe planning process. All the information is represented overintervals of time, allowing the planner to reason about durations,deadlines, and delays within its plan. In addition to the method,the thesis presents a formal model of the planning process and usesthe model to investigate planning strategies. The method has beenimplemented, and experiments have been run to validate the overallapproach and the theoretical model. overallapproach and the theoretical model.
AuthorRichard Washington  +
Bibtypetechreport  +
InstitutionStanford University  +
KeyKSL-94-21  +
NoteMarch STAN-CS-94-21.  +
NumberKSL-94-21  +
TagComputer science  +
TitleAbstraction Planning in Real Time  +
Tr idKSL-94-21  +
Year1994  +
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