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» Learning to Optimize Plan Execution in Information Agents
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ECAI
2010
Springer
13 years 8 months ago
ANTIPA: an agent architecture for intelligent information assistance
Abstract. Human users trying to plan and accomplish informationdependent goals in highly dynamic environments with prevalent uncertainty must consult various types of information s...
Jean Oh, Felipe Meneguzzi, Katia P. Sycara
ATAL
2000
Springer
13 years 11 months ago
Performance of Coordinating Concurrent Hierarchical Planning Agents Using Summary Information
Abstract. Recent research has provided methods for coordinating the individually formed concurrent hierarchical plans (CHiPs) of a group of agents in a shared environment. A reason...
Bradley J. Clement, Edmund H. Durfee
CIKM
2001
Springer
13 years 12 months ago
Joint Optimization of Cost and Coverage of Query Plans in Data Integration
Existing approaches for optimizing queries in data integration use decoupled strategies–attempting to optimize coverage and cost in two separate phases. Since sources tend to ha...
Zaiqing Nie, Subbarao Kambhampati
ICMLA
2007
13 years 9 months ago
Learning to evaluate conditional partial plans
In our research we study rational agents which learn how to choose the best conditional, partial plan in any situation. The agent uses an incomplete symbolic inference engine, emp...
Slawomir Nowaczyk, Jacek Malec
ICDE
2009
IEEE
155views Database» more  ICDE 2009»
14 years 2 months ago
Join Optimization of Information Extraction Output: Quality Matters!
— Information extraction (IE) systems are trained to extract specific relations from text databases. Real-world applications often require that the output of multiple IE systems...
Alpa Jain, Panagiotis G. Ipeirotis, AnHai Doan, Lu...