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Default reasoning and inheritance mechanisms on type hierarchies
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Source International Conference on Management of Data archive
Proceedings of the 1980 workshop on Data abstraction, databases and conceptual modeling table of contents
Pingree Park, Colorado, United States
Pages: 107 - 109  
Year of Publication: 1980
ISBN:0-89791-031-1
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Author
Jaime G. Carbonell  Computer Science Department, Carnegie-Mellon University, Pittsburgh, PA
Sponsors
NBS : National Bureau of Standards
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGMOD: ACM Special Interest Group on Management of Data
SIGPLAN: ACM Special Interest Group on Programming Languages
Publisher
ACM  New York, NY, USA
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ABSTRACT

Type hierarchies abound in Artificial Intelligence, Data Bases and Programming Languages. Although their size, use and complexity differs, all share a central inference mechanism: Inheritance of information, their raison d'etre. This paper discusses various types of type hierarchies and inheritance mechanisms, concluding with a proposed generalized inheritance mapping approach to resolve issues of lateral and upward inheritance (to augment the traditional downward approach), as well as default reasoning and limited non-monotonic inference.


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
Brachman, R.J., Bobrow, R.J., Cohen, P. R., Klovstad, J.W., Webber, B.L. and Woods, W.A., "Research in Natural Language Understanding," Tech. Report 4274, Bolt Beranek and Newman, 1979.
 
2
Carbonell, J.R., "AI in CAI: An Artificial Intelligence Approach to Computer-Aided Instruction," IEEE Trans. on Man-Machine Systems, Vol. 11, 1970, pp. 190-202.
 
3
Carbonell, J. G., "Towards a Process Model of Human Personality Traits," Artificial Intelligence, Vol. (in press), 1980.
 
4
Collins, A., Warnock, E.H., Aiello, N. and Miller, M.L., "Reasoning from Incomplete Knowledge," in Representation and Understanding, Bobrow, D.G. and Collins, A., ed., New York: Academic Press Inc, 1975, pp. 383-415.
 
5
Fahlman, S. E., NETL: A System for Representing and Using Real World Knowledge, MIT Press, 1979.
 
6
Fox, M.S., "On Inheritance in Knowledge Representation," Proceedings of the Sixth International Joint Conference on Artificial Intelligence, 1979 , pp. 282-284.
 
7
Hendrix, G., "Expanding The Utility of Semantic Networks Through Partitioning," Proceedings of the Fourth International Joint Conference on Artificial Intelligence, 1975.
 
8
McDermott, D.V. and Doyle J., "Non-Monotonic Logic I," Artificial Intelligence, Vol. 13, 1980, pp. 41-72.
 
9
Quillian, M.s R., "Semantic Memory," in Semantic Information Processing, Minsky, M., ed., MIT Press, 1968.
 
10
Reiter, R., "A Logic For Default Reasoning," Artificial Intelligence, Vol. 13, 1980, pp. 81-132.