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» Learning to Optimize Plan Execution in Information Agents
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FUIN
2007
130views more  FUIN 2007»
13 years 7 months ago
A Logic-Based Approach to Finding Explanations for Discrepancies in Optimistic Plan Execution
Abstract. Consider an agent executing a plan with nondeterministic actions, in a dynamic environment, which might fail. Suppose that she is given a description of this action domai...
Thomas Eiter, Esra Erdem, Wolfgang Faber, Já...
ECAI
2000
Springer
13 years 11 months ago
Achieving Coordination through Combining Joint Planning and Joint Learning
There are two major approaches to activity coordination in multiagent systems. First, by endowing the agents with the capability to jointly plan, that is, to jointly generate hypot...
Gerhard Weiss
PVLDB
2008
107views more  PVLDB 2008»
13 years 7 months ago
A pay-as-you-go framework for query execution feedback
Past work has suggested that query execution feedback can be useful in improving the quality of plans by correcting cardinality estimation errors in the query optimizer. The state...
Surajit Chaudhuri, Vivek R. Narasayya, Ravishankar...
WWW
2001
ACM
14 years 8 months ago
A Logic-based Framework for Mobile Intelligent Information Agents
Information agents are computational software systems that provides transparent access to many different information sources in the Internet, and to be able to retrieve, analyze, ...
Naoki Fukuta, Takayuki Ito, Toramatsu Shintani
EOR
2006
66views more  EOR 2006»
13 years 7 months ago
Performance prediction of an unmanned airborne vehicle multi-agent system
Consider unmanned airborne vehicle (UAV) control agents in a dynamic multi-agent system. The agents must have a set of goals such as destination airport and intermediate positions...
Zhaotong Lian, Abhijit Deshmukh