Title :
Modeling decisions by brains that think, feel, and vegetate
Author :
Levine, Daniel S.
Author_Institution :
Dept. of Psychol., Univ. of Texas at Arlington, Arlington, TX, USA
Abstract :
This paper summarizes three interrelated neural network models of data on emotionally influenced decision making: the first on a gambling task, the second on probability judgment, and the third on probability weighting. The networks incorporate data on executive regions of the brain and organizing principles such as adaptive resonance and fuzzy traces that have been utilized to model other cognitive data.
Keywords :
behavioural sciences; decision making; neural nets; probability; adaptive resonance; emotionally influenced decision making; fuzzy trace; gambling task; modeling decision; neural network model; organizing principles; probability judgment; probability weighting; Basal ganglia; Brain models; Data models; Encoding; Neurons; Steady-state;
Conference_Titel :
Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB), 2011 IEEE Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-9890-1
DOI :
10.1109/CCMB.2011.5952118
