Expert Systems With Applications, Vol. 4, pp. V-VI, 1992
0957--4174/92 $5.00 + .00 © 1992 Pergamon Press plc
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This Section contains abstracts and, where appropriate, illustrations of recently issued United States patents and published patent applications filed from over 30 countries under the Patent Cooperation Treaty. This information was obtained from recent additions to the Pergamon PATSEARCH ~"~online database in accordance with interest profiles developed by the Editors. Further information about Pergamon PATSEARCH ~ can be obtained from Pergamon Orbit InfoLine Inc., 8000 Westpark Drive, McLean, Virginia 22102, U.S.A. Copies of complete patents announced in this Section are available from Pergamon Orbit InfoLine Inc. for $8 per copy. Payment with order is required. Orders outside North America add $2 for air postage. Order by patent number for Pergamon Orbit InfoLine only.
4939680
expert system and automatically presents pretire and postfire displays for observing the system's performance. The debugger alternates between prefire and postfire states. In the prefire state, before the selected rule is fired, the conflict set of rules eligible to be fired, the selected rule to be fired, and the data for that rule are displayed in separate windows. Entry of the STEP command fires the rule and changes the debugger's state to postfire. In the postfire state, the just-fired rule and data updated thereby are displayed. Entry of the STEP command in the postfire state changes the state to prefire and automatically presents the prefire display for the next selected rule.
EXPERT SYSTEM USING DEEP KNOWLEDGE AND SHALLOW KNOWLEDGE Kenich Yoshida, Hachioji, Japan assigned to Hitachi Ltd An expert system infers by using deep knowledge and shallow knowledge. The deep knowledge may be physical rules which are basically satisfied in an electrical circuit which is an object of inference, and the shallow knowledge may be assumption knowledge derived from expert experience relating to the electrical circuit. The deep knowledge includes structure information of the object of inference and equation information representing behavior of the object. The structure of the shallow knowledge, which includes a concluding equation derived by omitting a portion of the equation of the deep knowledge, a conditional equation representing a condition under which the concluding equation is satisfied and the omitted item, is made essentially similar to the structure of the deep knowledge so that both the deep knowledge and the shallow knowledge are uniformly handled in one inference process.
4942526 METHOD AND SYSTEM FOR G E N E R A T I N G L E X I C O N OF C O O C C U R R E N C E R E L A T I O N S IN NATURAL LANGUAGE Atsushi Okajima, Fumiyuki Yamano, Eri Katagiri, Yokohama, Japan assigned to Hitachi Ltd A method and an apparatus for generating/maintaining automatically or interactively a lexicon for storing information of cooccurrence relations utilized for determining whether or not a sequence of words in a given sentence described in a natural language is semantically correct with the aid of a memory, a data processor and a textual sentence file. A hypothesized cooccurrence relation table for storing hypothesized cooccurrence relations each having a high probabliity of being a valid cooccurrence relation is prepared by consulting the file. A hypothesis for the cooccurrence relation is previously established on the basis of a cooccurrence relation pattern indicating a probably acceptable conjunction by consulting the
4941102 TWO-STEP DEBUGGER FOR EXPERT SYSTEMS Michael J Darnell, Joseph Hary, Robert J Quinn assigned to International Business Machines Corporation An apparatus and method for debugging a forward-chaining (rule-based) expert system are disclosed. A single STEP command controls the
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