Operations Research
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
A softbot-based interface to the Internet
Communications of the ACM
Information extraction as a basis for high-precision text classification
ACM Transactions on Information Systems (TOIS)
A scalable comparison-shopping agent for the World-Wide Web
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Semi-Automatic Wrapper Generation for Internet Information Sources
COOPIS '97 Proceedings of the Second IFCIS International Conference on Cooperative Information Systems
Control in a 3D Reconstruction System using Selective Perception
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Efficient information gathering on the Internet
FOCS '96 Proceedings of the 37th Annual Symposium on Foundations of Computer Science
Information Gathering as a Resource Bounded Interpretation Task TITLE2:
Information Gathering as a Resource Bounded Interpretation Task TITLE2:
Data reprocessing in signal understanding systems
Data reprocessing in signal understanding systems
Value-driven information gathering
Value-driven information gathering
Decision Analysis
Moving up the information food chain: deploying softbots on the world wide web
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Planning by rewriting: efficiently generating high-quality plans
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Optimal Reward-Based Scheduling for Periodic Real-Time Tasks
IEEE Transactions on Computers
Deborah Ann Stacey, Application of Bayesian Networks to Shopping Assistance
AI '02 Proceedings of the 15th Conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
Acquiring an Optimal Amount of Information for Choosing from Alternatives
CIA '02 Proceedings of the 6th International Workshop on Cooperative Information Agents VI
Optimizing information exchange in cooperative multi-agent systems
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Maximizing rewards for real-time applications with energy constraints
ACM Transactions on Embedded Computing Systems (TECS)
Estimating information value in collaborative multi-agent planning systems
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
Using performance profile trees to improve deliberation control
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Choosing between heuristics and strategies: an enhanced model for decision-making
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Resource-bounded information gathering for correlation clustering
COLT'07 Proceedings of the 20th annual conference on Learning theory
Optimizing queries to remote resources
Journal of Intelligent Information Systems
Observer effect from stateful resources in agent sensing
Autonomous Agents and Multi-Agent Systems
Efficiently gathering information in costly domains
Decision Support Systems
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This paper presents a system for autonomous informationgathering in an information rich domain under time and monetaryresource restrictions. The system gathers information using anexplicit representation of the user's decision model and adatabase of information sources. Information gathering isperformed by repeatedly selecting the query with the highestmarginal value. This value is determined by the value of theinformation with respect to the decision being made, theresponsiveness of the information source, and a given resourcecost function. Finally, we compare the value-driven approach toseveral base-line techniques and show that the overhead of themeta-level control is made up for by the increased decisionquality.