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» Cooperative Multiagent Learning
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TSMC
2008
164views more  TSMC 2008»
14 years 11 months ago
Bagging and Boosting Negatively Correlated Neural Networks
In this paper, we propose two cooperative ensemble learning algorithms, i.e., NegBagg and NegBoost, for designing neural network (NN) ensembles. The proposed algorithms incremental...
Md. Monirul Islam, Xin Yao, S. M. Shahriar Nirjon,...
ATAL
2007
Springer
15 years 6 months ago
Real-time agent characterization and prediction
Reasoning about agents that we observe in the world is challenging. Our available information is often limited to observations of the agent’s external behavior in the past and p...
H. Van Dyke Parunak, Sven Brueckner, Robert S. Mat...
MATA
2004
Springer
101views Communications» more  MATA 2004»
15 years 5 months ago
Mobile Tourist Guide Services with Software Agents
Applications for mobile devices have some restrictions because of the limited capabilities and heterogeneity of these devices. However, their communication capabilities allow the d...
Juan Pavón, Juan M. Corchado, Jorge J. G&oa...
KESAMSTA
2010
Springer
15 years 4 months ago
Classifying Agent Behaviour through Relational Sequential Patterns
Abstract. In Multi-Agent System, observing other agents and modelling their behaviour represents an essential task: agents must be able to quickly adapt to the environment and infe...
Grazia Bombini, Nicola Di Mauro, Stefano Ferilli, ...
ATAL
2010
Springer
15 years 29 days ago
Cultivating desired behaviour: policy teaching via environment-dynamics tweaks
In this paper we study, for the first time explicitly, the implications of endowing an interested party (i.e. a teacher) with the ability to modify the underlying dynamics of the ...
Zinovi Rabinovich, Lachlan Dufton, Kate Larson, Ni...