Inhibited Elements Model — Implementation of an associative learning theory
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DOI: 10.1016/j.jmp.2019.102310
Abstract: Abstract The Inhibited Elements Model (IEM) is an associative learning theory with an elemental stimulus representation and normalised amount of activation. At present, an evaluation of the model has been difficult as the IEM was… read more here.
Keywords: inhibited elements; elements model; associative learning; learning theory ... See more keywords
Reduction of state vector size in dynamic positioning simulation of supply vessel using a nonlinear extension of Kalman Filter
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DOI: 10.1016/j.oceaneng.2019.02.038
Abstract: Abstract Having a reliable and fast estimation of states regardless of prior knowledge about environmental conditions is a major goal to be achieved in application of Dynamic Positioning (DP). One way to have a faster… read more here.
Keywords: elements model; kalman filter; dynamic positioning; state ... See more keywords
The representation of stimulus conjunction in theories of associative learning: A context-dependent added-elements model.
Sign Up to like & getrecommendations! Published in 2020 at "Journal of experimental psychology. Animal learning and cognition"
DOI: 10.1037/xan0000252
Abstract: This article briefly reviews 3 theories concerning elemental and configural approaches to stimulus representation in associative learning and presents a new context-dependent added-elements model (C-AEM). This model takes an elemental approach to stimulus representation where… read more here.
Keywords: representation; associative learning; context dependent; elements model ... See more keywords