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this paper, we investigate this revi.-ed principle as applied to question answering. In particular the goals of the research described here are to: 1. characterize tractable cases in which the system as respondent (R) can anticipate the possibility of the user/questioner (Q} drawing false conclusions from its response and can hence alter or expand its response so as to prevent it happening; 2. develop a formal method for computing the projected inferences that Q may draw from a particular response, identifylug those 1This work is partially supported by NSF Grants MCS 81-07290, MCS 8.3-05221, and [ST 88-1 2At present visiting the Department of Computer and Information Science, University of Pemsylvania, Phi|adelphia, PA 19104. factors whose presence or absence catalyzes the inferences; 3. enable the system to generate modifications of its response that can defuse possible false inferences and that may provide addi6oual useful information as well
Joshi et al. (Sun,) studied this question.