Intelligent information agents: review and challenges for distributed information sources
Journal of the American Society for Information Science
Task environment centered simulation
Simulating organizations
WebMate: a personal agent for browsing and searching
AGENTS '98 Proceedings of the second international conference on Autonomous agents
Context-mediated behavior for intelligent agents
International Journal of Human-Computer Studies - Special issue: using context in applications
Document Categorization and Query Generation on the World Wide WebUsing WebACE
Artificial Intelligence Review - Special issue on data mining on the Internet
Adaptive Retrieval Agents: Internalizing Local Contextand Scaling up to the Web
Machine Learning - Special issue on information retrieval
BIG: an agent for resource-bounded information gathering and decision making
Artificial Intelligence - Special issue on Intelligent internet systems
Adaptive Reasoning for Real-World Problems: A Schema-Based Approach
Adaptive Reasoning for Real-World Problems: A Schema-Based Approach
A Model of Explicit Context Representation and Use for Intelligent Agents
CONTEXT '99 Proceedings of the Second International and Interdisciplinary Conference on Modeling and Using Context
Aspects of Context for Understanding Multi-modal Communication
CONTEXT '99 Proceedings of the Second International and Interdisciplinary Conference on Modeling and Using Context
Arguments of persuasion in labour mediation
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 1
Complex goal criteria and its application in design-to-criteria scheduling
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Implicit: a multi-agent recommendation system for web search
Autonomous Agents and Multi-Agent Systems
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The development of intelligent Web search agents will become increasingly important as the amount of information on the Web continues to grow. Intelligently searching the Web depends on the searcher understanding not only the context of the query, including the person for whom the search is being done, but also the context of the results, including the information sources and the retrieved information itself. Consequently, intelligent Web search agents will need to have mechanisms for representing and using contextual knowledge. In this paper, we discuss the kinds of contexts and contextual knowledge such an agent will encounter. We use as an example a Web search agent we are beginning to develop, ferret, that will search for scholarly information about music. We then propose some ways in which explicitly represented, a priori contextual knowledge can be used by the search agent, and we discuss directions for future research.