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Reinforcement and inference in cross-situational world learning
(Frontiers Research FoundationLausanne, 2013-11)
Cross-situational word learning is based on the notion that a learner can determine the referent of a word by finding something in common across many observed uses of that word. Here we propose an adaptive learning algorithm ...
Cross-situational and supervised learning in the emergence of communication
(JOHN BENJAMINS PUBLISHING COMPANY, 2011)
Scenarios for the emergence or bootstrap of a lexicon involve the repeated interaction between at least two agents who must reach a consensus on how to name N objects using H words. Here we consider minimal models of two ...
Learning English Grammar in a meaningful context
This project seeks to put into practice the current education paradigm, the constructivist model, based on looking at the students as active agents of their own learning and to rethink the role of the teacher in the whole ...
Minimal model of associative learning for cross-situational lexicon acquisition
(Academic PressMaryland Heights, 2012-12)
An explanation for the acquisition of word-object mappings is the associative learning in a crosssituational scenario. Here we present analytical results of the performance of a simple associative learning algorithm for ...
Using the cloud to develop applications supporting geo-collaborative Situated Learning
(Elsevier, 2014)
Situated Learning stresses the importance of the context in which learning takes place. It has been
therefore frequently associated with informal learning or learning outside the classroom. Cloud
technologies can play ...
Situated learning theory and Geo- collaboration for seamless learning
(Springer Science+Business Media Singapore L.-H. Wong et al. (eds.), Seamless Learning, 2015)
Situated learning stresses the importance of the context in which learning
takes place. It has been therefore frequently associated with informal learning or
learning outside the classroom. Therefore, this theory offers ...