TY - JOUR
T1 - Emotions as a Vehicle for Rationality: Rational Decision Making Models Based on Emotion-Related Valuing and Hebbian Learning
AU - Treur, J.
AU - Umair, M.
PY - 2015
Y1 - 2015
N2 - In this paper an adaptive decision model based on predictive loops through feeling states is analysed from the perspective of rationality. Hebbian learning is considered for different types of connections in the decision model. To assess the extent of rationality, a measure is introduced reflecting the environment's behaviour. Simulation results and the extents of rationality of the different models over time are presented and analysed.
AB - In this paper an adaptive decision model based on predictive loops through feeling states is analysed from the perspective of rationality. Hebbian learning is considered for different types of connections in the decision model. To assess the extent of rationality, a measure is introduced reflecting the environment's behaviour. Simulation results and the extents of rationality of the different models over time are presented and analysed.
UR - https://www.scopus.com/pages/publications/84946487935
UR - https://www.scopus.com/inward/citedby.url?scp=84946487935&partnerID=8YFLogxK
U2 - 10.1016/j.bica.2015.05.001
DO - 10.1016/j.bica.2015.05.001
M3 - Article
SN - 2212-683X
VL - 14
SP - 40
EP - 56
JO - Biologically Inspired Cognitive Architectures
JF - Biologically Inspired Cognitive Architectures
ER -
