Exploiting Plan Reasoning to Generate Effective Task Descriptions

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The task of generating effective textual descriptions of the plans produced by automatic planning algorithms is made more difficult by the complexity of the plans themselves. Describing every component of a complicated plan makes for an awkward and ineffective description. The work I propose focuses on the development of domain-independent techniques to eliminate the complexity from these textual descriptions. I propose several techniques that exploit the plan reasoning capabilities of users and the task context in which plan descriptions occur to produce effective and concise descriptions.