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The RHET system is a knowledge representation tool that is intended to support the development of advanced prototype natural language understanding and planning systems. The key requirements on the system are that it be general and expressive enough to support basic experimental systems, that it is efficient enough to allow such systems to be effectively built, and that its behavior be precisely specified independent of the actual program. It is a hybrid representation consisting of a set of separately defined specialized reasoning systems that are presented to the user within a single uniform framework.
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James F. Allen
Florida Institute for Human and Machine Cognition
ACM SIGART Bulletin
University of Rochester
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James F. Allen (Sat,) studied this question.
synapsesocial.com/papers/6a1ff345d47ed904550da5e6 — DOI: https://doi.org/10.1145/122296.122297
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