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CEC
2008
IEEE
14 years 6 days ago
Learning benefits evolution if sex gives pleasure
Abstract-- In this paper we investigate the effects of individual learning on an evolving population of situated agents. We work with a novel type of system where agents can decide...
Robert Griffioen, Selmar K. Smit, A. E. Eiben
CORR
2000
Springer
92views Education» more  CORR 2000»
13 years 10 months ago
Predicting the expected behavior of agents that learn about agents: the CLRI framework
We describe a framework and equations used to model and predict the behavior of multi-agent systems (MASs) with learning agents. A difference equation is used for calculating the ...
José M. Vidal, Edmund H. Durfee
RAS
2010
131views more  RAS 2010»
13 years 8 months ago
Probabilistic Policy Reuse for inter-task transfer learning
Policy Reuse is a reinforcement learning technique that efficiently learns a new policy by using past similar learned policies. The Policy Reuse learner improves its exploration b...
Fernando Fernández, Javier García, M...
IADIS
2004
13 years 11 months ago
Just-In-Time Learning: Ready For SMS?
The world trends indicate that a very high number of university students have access to a mobile phone. Is it time to integrate SMS-based mobile learning into a flexible learning ...
Krassie Petrova, Yenni Sutedjo
AIED
2009
Springer
14 years 4 months ago
To Elicit Or To Tell: Does It Matter?
Abstract. While high interactivity has been one of the main characteristics of oneon-one human tutoring, a great deal of controversy surrounds the issue of whether interactivity is...
Min Chi, Pamela W. Jordan, Kurt VanLehn, Diane J. ...