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PLAN RECOGNITION WITH UNRELIABLE OBSERVATIONS
PLAN RECOGNITION WITH UNRELIABLE OBSERVATIONS
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机译:不相关观察结果的计划识别
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摘要
A mechanism is provided for computing a solution to a plan recognition problem. The plan recognition problem includes the model and a partially ordered sequence of observations or traces. The plan recognition is transformed into an AI planning problem such that a planner can be used to compute a solution to it. The approach is general. It addresses unreliable observations: missing observations, noisy observations (or observations that need to be discarded), and ambiguous observations). The approach does not require plan libraries or a possible set of goals. A planner can find either one solution to the resulting planning problem or multiple ranked solutions, which maps to the most plausible solution to the original problem.
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