Data Driven Adaptive Control with Hysteresis Input for a Piezo-Actuated Stage

Author(s):  
Yifan Wang ◽  
Miaolei Zhou
Keyword(s):  
2021 ◽  
pp. 1-27
Author(s):  
Syed Aseem Ul Islam ◽  
Tam W. Nguyen ◽  
Ilya V. Kolmanovsky ◽  
Dennis S. Bernstein

2002 ◽  
Vol 128 (1) ◽  
pp. 3-14 ◽  
Author(s):  
Edy Bertolissi ◽  
Mauro Birattari ◽  
Gianluca Bontempi ◽  
Antoine Duchâteau ◽  
Hugues Bersini

2021 ◽  
Vol 12 ◽  
Author(s):  
Jakub Dotlačil ◽  
Puck de Haan

This paper explores how the rational theory of memory summarized in Anderson (1991) can inform the computational psycholinguistic models of human parsing. It is shown that transition-based parsing is particularly suitable to be combined with Anderson's theory of memory systems. The combination of the rational theory of memory with the transition-based parsers results in a model of sentence processing that is data-driven and can be embedded in the cognitive architecture Adaptive Control of Thought-Rational (ACT-R). The predictions of the parser are tested against qualitative data (garden-path sentences) and a self-paced reading corpus (the Natural Stories corpus).


Sign in / Sign up

Export Citation Format

Share Document