Rough set techiques for uncertainty management in automated story generation

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Rough set techiques for uncertainty management in automated story generation

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ACM Southeast Regional Conference archive
Proceedings of the 36th annual Southeast regional conference table of contents

Pages: 326 - 331

Year of Publication: 1998

ISBN:1-58113-030-9

Authors

T. Beaubouef	Computer Science Department, Xavier University of Louisiana, New Orleans, LA
R. Lang	Computer Science Department, Xavier University of Louisiana, New Orleans, LA

Sponsor

ACM: Association for Computing Machinery

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 3, Downloads (12 Months): 27, Citation Count: 2

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references cited by index terms collaborative colleagues

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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	T. Beaubouef, F. Petty, and B. Buckles, "Extension of the Relational Database and its Algebra with Rough Set Techniques," Computational Intelligence, Vol. 11, No. 2, May, 1995, pp. 233-245.
	2	T. Beauboucf, F. Petty, and G. Arora, "Information- Theoretic Measures of Uncertainty for Rough Sets and Rough Relational Databases," Fifth International Workshop on Rough Sets and Soft Computing (RS$C'97), Research Triangle Park, NC, March 1997.
	3	T. Beaubouef and F. Petry, "Fuzzy Set Quantification of Roughness in a Rough Relational Database Model," IEEE International Conference on Fuzzy Systems, Orlando, Florida, 1994.
	4	T. Beaubouef and F. Perry, "Rough Querying of Crisp Data in Relational Databases," Third International Workshop on Rough Sets and Soft Computing (RSSC'94), San jose, California, November 1994.
	5	Gordon H. Bower, "Experiments on story understanding and recall," Quarterly Journal of Experimental Psychology, 28, 1976, pp. 511-534.
	6	Noam Chomsky, Aspects of Syntax, MIT Press, Cambridge, 1965.
	7	Jerzy W. Grzymala-Busse, Managing Uncertainty in Expert Systems, Kluwer Academic Publishers, Norwell, MA, 1900
	8	R. Raymond Lang, A formal model for simple narratives, Tulane University, New Orleans, LA, 1997
	9	Michael Lebowitz. "Story telling and generalization," In Proceedings of the Seventh Annual Conference of the Cognitive Science Society, Berkeley, California, 1985 pp. 100-109.
	10	Jean M. Mandler and Nancy S. Johnson, "Remembrance of things parsed: Story structure and recall," Cognitive Psychology, 9, 1977, pp. 11 I-151.
	11	James Richard Meehan, The metanovel: writing stories by computer., 1976
	12	Zdzislaw Pawlak, Rough Sets: Theoretical Aspects of Reasoning about Data, Kluwer Academic Publishers, Norwell, MA, 1992
	13	V. Propp, Morphology of the Folktale, University of Texas Press, 1968.
	14	David E. Rumelhart, "Notes on a schema for stories," In Daniel G. Bobrow and Allan Collins, editors, Representation and Understanding: Studies in Cognitive Science, Academic Press, Inc., New York, 1975, pp. 211-236.
	15	R. Slowinski, "A Generalization of the Indiscemibility Relation for Rough Sets Analysis of Quantitative Information," First International Workshop on Rough Sets: State of the Art and Perspectives, Poland, September, 1992.
	16	Padmini Srinivasan, The importance of rough approximation for information retrieval, International Journal of Man-Machine Studies, v.34 n.5, p.657-671, May 1991 [doi>10.1016/0020-7373(91)90017-2]
	17	Nancy L. Stein and Christine G. Glenn, "An analysis of story comprehension in elementary school children," In Roy O. Freedle, editor, New Directions in Discourse Processing, volume 2, Ablex Publishing Corporation, Norwood, New Jersey, 1979, pp. 53-120.
	18	Scott R. Turner, "A case-based model of creativity," In Workshop on Creativity, AAdl-91, Anaheim, California, 1991.

CITED BY 2

	Theresa Beaubouef, Automatic and user-assisted test generation: a rough set approach, Proceedings of the 38th annual on Southeast regional conference, April 07-08, 2000, Clemson, South Carolina
	Wen-Yau Liang , Chun-Che Huang, The generic genetic algorithm incorporates with rough set theory - An application of the web services composition, Expert Systems with Applications: An International Journal, v.36 n.3, p.5549-5556, April, 2009