DocumentCode
2270472
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
fYear
2011
fDate
11-15 April 2011
Firstpage
1
Lastpage
8
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB), 2011 IEEE Symposium on
Conference_Location
Paris
Print_ISBN
978-1-4244-9890-1
Type
conf
DOI
10.1109/CCMB.2011.5952118
Filename
5952118
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