Author :
Tan, Chew Lim ; Quah, Tong Seng ; Teh, Hoon Heng
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 (αi,βi,). 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;