2004 Fiscal Year Final Research Report Summary
Development of a feedback neural network model of expert's decision-making process
| Project/Area Number |
15300270
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Educational technology
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| Research Institution | Tokyo Institute of Technology |
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Principal Investigator |
NAKAGAWA Masanori Tokyo Institute of Technology, Graduate School of Decision Science and Technology, Department of Human System Science, Professor, 大学院・社会理工学研究科, 教授 (40155685)
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| Co-Investigator(Kenkyū-buntansha) |
MUTA Hiromitsu Tokyo Institute of Technology, Graduate School of Decision Science and Technology, Department of Human System Science, Professor, 大学院・社会理工学研究科, 教授 (70090925)
MAEKAWA Shin-ichi Tokyo Institute of Technology, Graduate School of Decision Science and Technology, Department of Human System Science, Professor, 大学院・社会理工学研究科, 教授 (70190288)
YAMAGISHI Kimihiko Tokyo Institute of Technology, Graduate School of Decision Science and Technology, Department of Human System Science, Assistant Professor, 大学院・社会理工学研究科, 助教授 (70286136)
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| Project Period (FY) |
2003 – 2004
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| Keywords | Decision-making / Neural network / Feed back / Psychological experiment / Computer Simulation / Expert |
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| Research Abstract |
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.
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Research Products
(21 results)
