• 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 (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;
  • fLanguage
    English
  • Journal_Title
    Computer
  • Publisher
    ieee
  • ISSN
    0018-9162
  • Type

    jour

  • DOI
    10.1109/2.485894
  • Filename
    485894