Title :
A gate model of emotional learning
Author :
Khachatryan, Suren ; Grigoryan, Khosrov
Author_Institution :
Coll. of Sci. & Eng., American Univ. of Armenia Yerevan, Yerevan, Armenia
Abstract :
The paradigm of stimulus-driven emotional learning is embraced within a more integral field of machine learning. A computational model is suggested, where the actions of stimuli are represented by matrices acting on agent´s state vector. The model is validated against several classical experiments in the area of classical conditioning. Eventually, ways of further development are indicated and the conditioning phenomena not covered yet by the model are listed.
Keywords :
learning (artificial intelligence); matrix algebra; agents state vector; classical conditioning phenomena; computational model; emotional learning gate model; machine learning; matrices; stimulus-driven emotional learning; Computational modeling; Decision making; Integrated circuit modeling; Logic gates; Testing; Training; Vectors; Machine learning; classical conditioning; cognitive process; computational model; emotion;
Conference_Titel :
Computer Science and Information Technologies (CSIT), 2013
Conference_Location :
Yerevan
Print_ISBN :
978-1-4799-2460-8
DOI :
10.1109/CSITechnol.2013.6710346
