Abstract
Agent approaches has been increasingly used within information technology to describe various computational entities. Especially, due to the proliferation of readily available text databases on the Web, agents have been often developed as the computational entities for discovering useful text databases on the Web. In this paper, we motivate the need for the hierarchical organization of those agents. The motivation is based on our experiences with the neural net agents for the text database discovery and an analysis of the tradeoff between the benefit of the hierarchical organization of agents and multi-agent coordination overhead. We first introduce the neural net agent and then motivate our multi-agent approach based on the hierarchical organization of neural net agents both analytically and experimentally.
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References
Choi, Y. S. and S. I. Yoo (1998, September). Neural network based web information agent. In Proceedings of 1998 ACM CIKM Workshop on Web Information and Data Management (WIDM’98), Bethesda, Maryland, pp. 21–24. ACM Press.
Choi, Y. S. and S. I. Yoo (1999, September). Neural net agent for discovering text databases on the web. In to appear in Proceedings of 1999 Advances in Databases and Information Systems (ADBIS’99), Maribor, Slovenia.
Freeman, J. A. and D. M. Skapura (1992). Neural Networks Algorithms, Applications, and Programming Techniques. Addison-Wesley.
Gravano, L. and H. Garcia-Molina (1995, September). Generalizing GlOSS to vectorspace databases and broker hierarchies. In U. Dayal, P. M. D. Gray, and S. Nishio (Eds.), Proceedings of 21th International Conference on Very Large Data Bases (VLDB’95), Zurich, Switzerland, pp. 78–89. Morgan Kaufmann.
Gravano, L., H. Garcia-Molina, and A. Tomasic (1994, May). The effectiveness of GlOSS for the text database discovery problem. In R. T. Snodgrass and M. Winslett (Eds.), Proceedings of the 1994 ACM SIGMOD International Conference on Management of Data, Minneapolis, Minnesota, pp. 126–137. ACM Press.
Howe, A. and D. Dreilinger (1997). SavvySearch: A meta-search engine that learns which search engines to query. AI Magazine 18 (2).
Koller, D. and M. Sahami (1997). Hierarchically classifying documents using very feww ords. In Proceedings of the Fourteenth International Conference on Machine Learning (ICML-97), pp. 170–178.
Langley, P. (1988). Machine learning as an experimental science. Machine Learning 3, 5–8.
Meng, W., K.-L. Liu, C. T. Yu, X. Wang, Y. Chang, and N. Rishe (1998, August). Determining text databases to search in the internet. In A. Gupta, O. Shmueli, and J. Widom (Eds.), Proceedings of 24th International Conference on Very Large Data Bases (VLDB’98), NewY ork City, NewY ork, USA, pp. 14–25. Morgan Kaufmann.
Minsky, M. and S. Papert (1969). Perceptrons. MIT Press.
Salton, G. (1971). The SMART Retrieval System-Experiments in Automatic Document Processing. Prentice Hall.
Salton, G. and M. McGill (1983). Introduction to Mordern Information Retrieval. McGraw-Hill.
Sargent, T. J. (1993). Bounded Rationality in Macroeconomics. The Arne Ryde Memorial Lectures. Oxford University Press.
Tesauro, G. and R. Janssens (1988). Scaling relationships in back-propagation learning. Complex Systems 6, 39–44.
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Choi, Y.S., Lee, J., Yoo, S.I. (1999). Hierarchical Multi-agent Organization for Text Database Discovery. In: Nakashima, H., Zhang, C. (eds) Approaches to Intelligence Agents. PRIMA 1999. Lecture Notes in Computer Science(), vol 1733. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46693-2_11
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DOI: https://doi.org/10.1007/3-540-46693-2_11
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