Abstract
Text-based plans are plans whose steps and goals are described
in a textual format. In contrast to logic-based plans - plans
that are represented based on variations of a first-order logic
format - such plans are much easier for a domain expert to
describe, and is getting much easier to find given the tremendous
growth of the Internet. In this paper we assume that the user is
interested in an interactive plan retrieval system that is based
on a library of text-based plans. We focus on two important
issues on the maintenance of this library: the updating of the
text-based plans themselves and the maintenance of the indexes
with which to retrieve these plans. We present techniques that
address the life-time maintenance of such plan libraries with
techniques drawing from information retrieval, neural network
learning and case-based reasoning.
Users
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