Abstract
A neural fuzzy system can help learn an agent profile of a user. The fuzzy system uses if-then rules to store and compress the agent's knowledge of the user's likes and dislikes. A neural system uses training data to form and tune the rules. The profile is a preference map or a bumpy utility surface over the space of search objects. Rules define fuzzy patches that cover the bumps as learning unfolds and as the fuzzy agent system gives a finer approximation of the profile. The agent system searches for preferred objects with the learned profile and a new fuzzy measure of similarity. We derive a new supervised learning law that tunes this matching measure with new sample data. Then we test the fuzzy agent profile system on object spaces of flowers and sunsets and test the fuzzy agent matching system on an object space of sunset images.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
T. Caelli and D. Reye, “On the Classification of Image Regions by Colour, Texture and Shape,” Pattern Recognition, vol. 26, no. 4, pp. 461–470, 1993.
S. F. Chang and J. R. Smith, “Extracting Multi-Dimensional Signal Features for Content-Based Visual Query,” in SPIE Symposium on Visual Communications and Signal Processing, May 1995.
G. Debreu, “Representation of a Preference Ordering by a Numerical Function,” in Mathematical Economics: Twenty Papers of Gerard Debreu, chapter 6, pp. 105–110. Cambridge University Press, 1983.
M. Dorigo, V. Maniezzo, and A. Colorni, “Ant System: Optimization by a Colony of Cooperating Agents,” IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, vol. 26, no. 1, pp. 29–41, February 1996.
B. Efron and R. J. Tibshirani, An Introduction to the Bootstrap, Chapman & Hall, 1993.
W. I. Grosky, “Multimedia Information Systems,” IEEE Multimedia, vol. 1, no. 1, pp. 12–24, Spring 1994.
B. Kosko, “Fuzzy Systems as Universal Approximators,” IEEE Transactions on Computers, vol. 43, no. 11, pp. 1329–33, November 1994.
B. Kosko, “Optimal Fuzzy Rules Cover Extrema,” International Journal of Intelligent Systems, vol. 10, no. 2, pp. 249–255, February 1995.
B. Kosko, Fuzzy Engineering, Prentice Hall, 1996.
P. Maes, “Agents that Reduce Work and Information Overload,” Communications of the ACM. vol. 37, no. 7, pp. 31–40, July 1994.
S. Mitaim and B. Kosko, “What is the Best Shape for a Fuzzy Set in Function Approximation?,” in Proceedings of the Fifth IEEE International Conference on Fuzzy Systems (FUZZ-96), New Orleans, September 1996, vol. 2, pp. 1237–1243.
W. Niblack et al., “The QBIC Project: Querying Images by Content Using Color, Texture, and Shape,” Research Report RJ 9203 (81511), IBM, February 1993.
A. Penland, R. W. Picard, and S. Sclaroff, “Photobook: Tools for Content-Based Manipulation of Image Databases,” in SPIE: Storage and Retrieval for Image and Video Database II, February 1994, vol. 2185, pp. 34–47.
W. K. Pratt, Digital Image Processing, Wiley Interscience, second edition, 1991.
J. S. Rosenschein and G. Zlotkin, “Consenting Agents: Designing Conventions for Automated Negotiation,” AI Magazine, vol. 15, no. 3, pp. 29–46, Fall 1994.
E. Santos Jr. and D. O. Banks, “Acquiring Consistent Knowledge,” Technical Report AFIT/EN/TR96-01, Air Force Institute of Technology, January 1996.
M. J. Swain and D. H. Ballard, “Color Indexing,” International Journal of Computer Vision, vol. 7, no. 1, pp. 11–32, 1991.
M. Vetterli and J. Kovačević, Wavelets and Subband Coding, Prentice Hall, 1995.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1997 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Mitaim, S., Kosko, B. (1997). Neural fuzzy agents for database search. In: Kandzia, P., Klusch, M. (eds) Cooperative Information Agents. CIA 1997. Lecture Notes in Computer Science, vol 1202. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-62591-7_31
Download citation
DOI: https://doi.org/10.1007/3-540-62591-7_31
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-62591-9
Online ISBN: 978-3-540-68321-6
eBook Packages: Springer Book Archive