Abstract. A spiking neural network modeling the cerebellum is presented. The model, consisting of more than 2000 conductance-based neurons and more than 50 000 synapses, runs in re...
Christian Boucheny, Richard R. Carrillo, Eduardo R...
Abstract. So far, the main focus of research on adaptability in multiagent systems (MASs) has been on the agents’ behavior, for example on developing new learning techniques and ...
Alexander Helleboogh, Tom Holvoet, Danny Weyns, Yo...
: The Adaptive Courseware Environment (ACE) is a WWW-based tutoring framework which combines methods of knowledge representation, instructional planning, and adaptive media generat...
: Adaptive hypermedia systems (AHS) have typically been geared towards one specific application or application area, in most cases related to education. The AHA (Adaptive Hypermedi...
Paul De Bra, A. T. M. Aerts, Geert-Jan Houben, Hon...
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...