Using soft constraints to interpret descriptions of shapes

Proceedings - 2010 IEEE 4th International Conference on Semantic Computing, ICSC 2010

Volumn , Issue , 2010, Pages 341-348

  Guadarrama, Sergio ^a   Pancho, David P ^a  

^a EUROPEAN CENTRE FOR SOFT COMPUTING   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

AGGREGATION FUNCTIONS; F-MEASURE; LANGUAGE GAMES; SEMANTIC MODEL; SOFT CONSTRAINT;

SYNTACTICS;

SEMANTICS;

EID: 79952048868     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSC.2010.52     Document Type: Conference Paper

References (28)

1. D. P. Pancho and S. Guadarrama, "Syntax learning for the description of scenes composed of geometric shapes," in IEEE World Congress on Computational Intelligence, Barcelona, Spain, 2010, accepted for publication.
2. S. Guadarrama and D. P. Pancho, "Learning semantic models from descriptions of shapes using soft constraints," in IEEE World Congress on Computational Intelligence, Barcelona, Spain, 2010, accepted for publication.
3. S. Guadarrama, "A contribution to computing with words and perceptions," Ph.D. dissertation, Technical University of Madrid, Madrid, April 2007, (Available online at http://oa.upm.es/448/).
4. J. Mendel, L. Zadeh, E. Trillas, R. Yager, J. Lawry, H. Hagras, and S. Guadarrama, "What Computing with Words Means to Me [Discussion Forum]," IEEE Computational Intelligence Magazine, vol. 5, no. 1, pp. 20-26, 2010.
5. L. Wittgenstein, Philosophical Investigations, 3rd ed. Oxford: Basil Blackwell, 1981.
6. -, The blue and brown books. Oxford: Basil Blackwell, 1958.
7. L. A. Zadeh, "The concept of linguistic variable and its application to aproximate reasoning, parts i,ii,iii," Information Sciences, vol. 8,8,9, pp. 199-249,301-357,43-80, 1975.
8. -, "From computing with numbers to computing with words. From manipulation of measurements to manipulation of perceptions," IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, vol. 46, no. 1, pp. 105-119, 1999.
9. -, "A New Frontier in Computation? Computation with Information Described in Natural Language," in Proceedings Symposium on Fuzzy Systems in Computer Science FSCS, 2006, pp. 1-2.
10. -, "Toward a generalized theory of uncertainty (GTU)-an outline," Information Sciences, vol. 172, no. 1-2, pp. 1-40, 2005.
11. E. Trillas, E. Renedo, and S. Guadarrama, "Fuzzy Sets vs Language," in Computational Intelligence: Theory and Practice, ser. Studies in fuzziness and soft computing, B. Reusch, Ed. Springer, 2006, vol. 164, pp. 353-366.
12. E. Trillas and S. Guadarrama, "What about fuzzy logic's linguistic soundness?" Fuzzy Sets and Systems, vol. 156, pp. 334-340, 2005.
13. D. Roy and A. Pentland, "Learning words from sights and sounds: a computational model," Cognitive science, vol. 26, no. 1, pp. 113-146, 2002.
14. D. Roy, "Learning visually grounded words and syntax for a scene description task," Computer speech and language, vol. 16, no. 3, pp. 353-385, 2002.
15. P. Gorniak and D. Roy, "Grounded semantic composition for visual scenes," Journal of Artificial Intelligence Research, vol. 21, pp. 429-470, 2004.
16. D. Roy, "Grounding words in perception and action: computational insights," Trends in Cognitive Sciences, vol. 9, no. 8, pp. 389-396, 2005.
17. S. Guadarrama and M. Garrido, "Concept-Analyzer: A tool for analyzing fuzzy concepts," in Proceedings of IPMU, 2008, pp. 1084-1089.
18. S. Guadarrama, "Computing with Actions: The case of driving a car in a simulated car race," in International Fuzzy Systems Association-European Society for Fuzzy Logic and technologies (IFSA-EUSFLAT) World Congress, 2009, pp. 1410-1415.
19. M. Arens, R. Gerber, and H. Nagel, "Conceptual representations between video signals and natural language descriptions," Image and Vision Computing, vol. 26, no. 1, pp. 53-66, 2008.
20. P. Liang, M. Jordan, and D. Klein, "Learning semantic correspondences with less supervision," in Proceedings of the Joint Conference of the Association for Computational Linguistics and International Joint Conference on Natural Language Processing Processing (ACL-IJCNLP 2009). Singapore, 2009.
21. L. Steels, "Language games for autonomous robots," IEEE Intelligent systems, pp. 16-22, 2001.
22. L. Steels and F. Kaplan, "AIBO's first words: The social learning of language and meaning," Evolution of Communication, vol. 4, no. 1, pp. 3-32, 2002.
23. L. A. Zadeh, "Computing with Words and perceptions - A paradigm shift," in IEEE International Conference on Information Reuse & Integration, 2009. IRI'09, 2009, pp. viii-x.
24. A. Pradera, E. Trillas, S. Guadarrama, and E. Renedo, "On fuzzy set theories," in Fuzzy Logic. A spectrum of Theoretical and Practical Issues, ser. Studies in Fuzziness and Soft Computing, P. Wang, D. Ruan, and E. Kerre, Eds. Springer, 2007, vol. 215, pp. 15-47.
25. E. Trillas, "On a model for the meaning of predicates." in Fuzzy sets theory. Philosohpy and criticism, ser. Studies in Fuzziness and Soft Computing, R. Seising, Ed. Springer Verlag, 2009, vol. 243, ch. 9, pp. 175-205.
26. L. A. Zadeh, "A New Direction in AI: Toward a Computational Theory of Perceptions," AI Magazine, vol. 22, no. 1, p. 73, 2001.
27. -, "Precisiated natural language (PNL)," AI MAGAZINE, vol. 25, no. 3, pp. 74-91, 2004.
28. C. Janikow, "Fuzzy decision trees: issues and methods," IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 28, no. 1, pp. 1-14, 1998.