Agent-Based Intelligent Information Dissemination in Dynamically Changing Environments
This chapter presents an agent-based approach to intelligent information dissemination in dynamic environments. We will describe a prototype agent-based system, called the Anticipator, which enables an information dissemination system to adapt to changing information needs of users and provide the users with critical information relevant to those dynamic changes. The Anticipator models the information needs of each user with a dynamically adaptable profile that describes the current information needs of that user and how to adapt those information needs according to the changes in the environment. The Anticipator employs two types of agents, Profile Agents and Event Monitoring Agents. Profile Agents manage runtime user profiles. Event Monitoring Agents watch for interesting changes in the environment and report such changes to the Profile Agents such that the content and the frequency of the information sent to users can be adapted dynamically.
KeywordsEvent Condition User Profile Information Dissemination Relevance Feedback Profile Variable
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- Armstrong, R., Freitag D., Joachims T., and Mitchell, T. (1995), “Web-Watcher: A learning apprentice for the World Wide Web,” Proceedings of the 1995 AAAI Spring Symposium on Information Gathering from Heterogeneous, Distributed Environments, pp. 6–12.Google Scholar
- Balabanovic, M. (1997), “An adaptive web page recommendation service,” Proceedings of the First International Conference on Autonomous Agents, pp. 378–385.Google Scholar
- Decker, K., Sycara, K., and Williamson, W. (1996), “Intelligent adaptive information agents,” Working Notes of the AAAI-96 Workshop on Intelligent Adaptive Agents, (Technical Report WS-96–04), pp. 117–126.Google Scholar
- Edwards, P., Green, C.L., Lockier, P.C., Lukins, T.C. (1997), “Exploiting learning technologies for world wide web agents,” IEE Colloquium on Intelligent World Wide Web Agents, Digest No: 97/118, pp. 3/13/7.Google Scholar
- Foltz, P.W., and Dumais, S.T. (1992), “Personalized information delivery: An analysis of information filtering methods,” Communications of the ACM, vol. 35 (12), pp. 51–60.Google Scholar
- Lieberman, H. (1995), “Letizia: An agent that assists web browsing,” Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, pp. 924–929.Google Scholar
- Papakonstantinou, Y., Vassalos, V. (1998), “Query rewriting using semistructured views,” Technical Report, Database Group, Computer Science Department, Stanford University.Google Scholar
- Sheth, B.D. (1994), “A learning approach to personalized information filtering,” Master’s thesis, MIT Media Lab.Google Scholar
- Sorensen, H., and McElligott, M. (1995), “An online news agent,” Intelligent Agents Workshop, British Computer Society Specialist Group on Expert Systems and Representation and Reasoning Special Interest Group, Oxford, UK.Google Scholar
- Yan, T., and Garcia-Molina, H. (1995), “SIFT—A tool for wide-area information dissemination,” Proceedings of the USENIX Winter 1995 Technical Conference, pp. 177–186.Google Scholar