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An investigation into inference with restricted quantification and a taxonomic representation
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Issue 91  (January 1985) table of contents
Pages: 28 - 31  
Year of Publication: 1985
ISSN:0163-5719
Author
Alan M. Frisch  The University of Sussex, Brighton, England
Publisher
ACM  New York, NY, USA
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ABSTRACT

The goal of this investigation is to design and analyze efficient inference methods that arise when a representation language is augmented with restricted quantification and a taxonomic representation. These inference methods will be demonstrated by integrating them into the design of a logic-programming system and a knowledge retriever.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Allen, J. F., A. M. Frisch and D. J. Litman, "ARGOT: The Rochester dialogue system," in <u>Proceedings of the National Conference on Artificial Intelligence</u>, August, 1982.
 
2
Allen, J. F., M. E. Giuliano and A. M. Frisch, "The HORNE reasoning system," Technical Report 126, Computer Science Dept., U. Rochester, December 1983.
 
3
Brachman, R. J., "On the epistemological status of semantic networks," in N. V. Findler (Ed.), <u>Associative Networks: Representation and Use of Knowledge by Computers.</u> New York: Academic Press, 1979.
 
4
Brachman, R. J., R. E. Fikes and H. J. Levesque, "KRYPTON: A functional approach to knowledge representation," <u>Computer, 16</u>, 67--73, October, 1983.
 
5
Cohn, A. G., "A Note concerning the axiomisation of Schubert's steamroller in many-sorted logic," Alvey Workshop on Inference, Imperial College, Sept. 1984.
 
6
Cohn, A. G., "Mechanizing a particularly expressive many sorted logic," Ph.D. Thesis, Dept. of Computer Science, Univ. of Essex, 1983a.
 
7
Cohn, A. G., "Improving the expressiveness of many sorted logic," in <u>Proc. of the Third National Conf. on Artificial Intelligence</u>, August 1983b.
 
8
Frisch, A. M., "Using model theory to specify programs," in preparation.
9
 
10
Israel, D. J., "On interpreting network formalisms," <u>International Journal of Computers and Mathematics, 9</u>, 1-13, 1983a. Also in N. Cercone (Ed.), <u>Computational Linguistics</u>, Oxford: Pergamon, 1983a.
 
11
Israel, D. J., "On the semantics of taxonomy-based semantic networks," 1983b.
 
12
McSkimin, J. R., and J. Minker, "A predicate calculus based semantic network for deductive searching," in N. V. Findler (Ed.), <u>Associative Networks: Representation and Use of Knowledge by Computers.</u> New York: Academic Press, 1979.
 
13
Reiter, R., "An approach to deductive question-answering," BBN Technical Report 3649, Bolt Beranek and Newman, Inc., Cambridge, MA., 1977.
 
14
Walther, C., "A mechanical solution of Schubert's steamroller by many-sorted resolution," <u>Proc. of the Fourth National Conference on Artificial Intelligence</u>, 1984a.
 
15
Walther, C., "Unification in many-sorted theories," <u>Proc. of the Sixth European Conference on Artificial Intelligence</u>, 1984b.
 
16
Walther, C., "A many-sorted calculus based on resolution and paramodulation," <u>Proc. of the Eight International Joint Conference on Artificial Intelligence</u>, 1984b.