Resource-constrained knowledge diffusion processes inspired by human peer learning

We consider a setting where a population of artificial learners is given, and the objective is to optimize aggregate measures of performance, under constraints on training resources. The problem is motivated by the study of peer learning in human educational systems. In this context, we study natura...

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Bibliographische Detailangaben

Hauptverfasser:	Beikihassan, Ehsan, Hoover, Amy K, Koutis, Ioannis, Parviz, Ali, Aghaieabiane, Niloofar
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Learning
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