Development of a feedback neural network model of expert's decision-making process

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Research results of 2003 year(1)Examined existing models, i.e.corporative model, parallel constraints satisfaction model, and risk taking model, sufficiently.(2)Based on the examination in (1), studied a foundational feed forward neural network model constructed in the computer through its simulation.(3)Studied a feed back neural network model based on the system constructed in (2).(4)Extended the model constructed in (3), based on the variation of feed back structures.(5)Executed psychological experiments of decision-making process including psychological feed back process supposed in the present neural network model.(6)Executed the computer simulation of the model constructed in (4), using the same materials and method as psychological experiments in (5). Then, compared the results of the simulations and the results of experiments.(7)Improved the model in order to simulate the more human-like decision-making process, based on the comparison in (6).Research results of 2004 year(1)Developed a new model based on the system constructed in 2003, in order to simulate the decision making process of experts.(2)Executed psychological experiments of experts' decision making process including psychological feed back process.(3)Executed the computer simulation of the model constructed in (1), using the same materials and method as psychological experiments in (2). Then, compared the results of the simulations and the results of experiments.Based on the comparison in (3), improved the model in order to simulate the more expert-like decision-making process. Then, examined the possibility of application of the model in the educational technology.