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ATAL
2003
Springer
14 years 2 months ago
A selection-mutation model for q-learning in multi-agent systems
Although well understood in the single-agent framework, the use of traditional reinforcement learning (RL) algorithms in multi-agent systems (MAS) is not always justified. The fe...
Karl Tuyls, Katja Verbeeck, Tom Lenaerts
ECAI
2000
Springer
14 years 1 months ago
Encoding Information Fusion in Possibilistic Logic: A General Framework for Rational Syntactic Merging
The problem of merging multiple sources information is central in many information processing areas such as databases integration problems, multiple criteria decision making, exper...
Salem Benferhat, Didier Dubois, Souhila Kaci, Henr...
PRICAI
2000
Springer
14 years 1 months ago
Improved Efficiency of Oil Well Drilling through Case Based Reasoning
A system that applies a method of knowledge-intensive case-based reasoning, for repair and prevention of unwanted events in the domain of offshore oil well drilling, has been deve...
Pål Skalle, Jostein Sveen, Agnar Aamodt
AAAI
2007
13 years 12 months ago
A Multi-Dimensional Trust Model for Heterogeneous Contract Observations
In this paper we develop a novel probabilistic model of computational trust that allows agents to exchange and combine reputation reports over heterogeneous, correlated multi-dime...
Steven Reece, Stephen Roberts, Alex Rogers, Nichol...
AAAI
2007
13 years 12 months ago
Optimizing Anthrax Outbreak Detection Using Reinforcement Learning
The potentially catastrophic impact of a bioterrorist attack makes developing effective detection methods essential for public health. In the case of anthrax attack, a delay of ho...
Masoumeh T. Izadi, David L. Buckeridge