DocumentCode :
763215
Title :
An artificial neural network that models human decision making
Author :
Tan, Chew Lim ; Quah, Tong Seng ; Teh, Hoon Heng
Author_Institution :
Nat. Univ. of Singapore, Singapore
Volume :
29
Issue :
3
fYear :
1996
fDate :
3/1/1996 12:00:00 AM
Firstpage :
64
Lastpage :
70
Abstract :
The Neural Logic Network (Neulonet) system models a wide range of human decision making behaviors by combining the strengths of rule based expert systems and neural networks. Neulonet differs from other neural networks by having an ordered pair of numbers associated with each node and connection, as shown. Let Q be the output node and P1, P, …, PN, be input nodes. Also, let values associated with the node Pi, be denoted by (ai, bi,), and the weight for the connection from Pi, to Q be (αii,). Each node´s ordered pair takes one of three values-(1,0) for true, (0,1) for false, or (0,0) for “don´t know”; (1,1) is undefined
Keywords :
brain models; decision theory; knowledge based systems; neural nets; Neulonet; Neural Logic Network; artificial neural network; human decision making behavior; human decision making modelling; input nodes; ordered pair; output node; rule based expert systems; Artificial neural networks; Bonding; Decision making; Expert systems; Humans; Logic; Power generation economics; Procurement; Statistics;
fLanguage :
English
Journal_Title :
Computer
Publisher :
ieee
ISSN :
0018-9162
Type :
jour
DOI :
10.1109/2.485894
Filename :
485894
Link To Document :
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