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 P/sub 1/, P, ..., P/sub N/, be input nodes. Also, let values associated with the node P/sub i/, be denoted by (a/sub i/, b/sub i/,), and the weight for the connection from P/sub i/, to Q be (/spl alpha//sub i/,/spl beta//sub i/,). 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.
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