Blar i TKD - Institutt for informasjonsteknologi på forfatter "Arntzen, Erik"
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Balanced difficulty task finder: an adaptive recommendation method for learning tasks based on the concept of state of flow
Yazidi, Anis; Abolpour Mofrad, Asieh; Goodwin, Morten; Hammer, Hugo Lewi; Arntzen, Erik (Cognitive Neurodynamics;14, Journal article; Peer reviewed, 2020-08-27)An adaptive task difficulty assignment method which we reckon as balanced difficulty task finder (BDTF) is proposed in this paper. The aim is to recommend tasks to a learner using a trade-off between skills of the learner and ... -
Enhanced Equivalence Projective Simulation: A Framework for Modeling Formation of Stimulus Equivalence Classes
Abolpour Mofrad, Asieh; Yazidi, Anis; Abolpour Mofrad, Samaneh; Hammer, Hugo Lewi; Arntzen, Erik (Neural Computation;Vol. 33, No. 2, Journal article; Peer reviewed, 2021-02-01)Formation of stimulus equivalence classes has been recently modeled through equivalence projective simulation (EPS), a modified version of a projective simulation (PS) learning agent. PS is endowed with an episodic memory ... -
Equivalence Projective Simulation as a Framework for Modeling Formation of Stimulus Equivalence Classes
Abolpour Mofrad, Asieh; Yazidi, Anis; Hammer, Hugo Lewi; Arntzen, Erik (Neural Computation;Volume 32, No. 5, Journal article; Peer reviewed, 2020-04-14)Stimulus equivalence (SE) and projective simulation (PS) study complex behavior, the former in human subjects and the latter in artificial agents. We apply the PS learning framework for modeling the formation of equivalence ...