| Project/Area Number |
08458083
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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 |
情報システム学(含情報図書館学)
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| Research Institution | HOKKAIDO UNIVERSITY |
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Principal Investigator |
WADA Mitsuo Grad.School of Eng., Hokkaido Univ., Pro., 大学院・工学研究科, 教授 (90271650)
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| Co-Investigator(Kenkyū-buntansha) |
SHIMOJO Makoto Fac.of Eng., Ibaragi Univ., Pro., 工学部, 教授 (90292474)
YAMAGUCHI Akihiro Grad.School of Eng., Hokkaido Univ., Inst., 大学院・工学研究科, 助手 (60281789)
YOKOI Hiroshi Grad.School of Eng., Hokkaido Univ., Asso.Pro., 大学院・工学研究科, 助教授 (90271634)
MIKAMI Sadayoshi Grad.School of Eng., Hokkaido Univ., Asso.Pro., 大学院・工学研究科, 助教授 (50229655)
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| Project Period (FY) |
1996 – 1998
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| Project Status |
Completed (Fiscal Year 1998)
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| Budget Amount *help |
¥7,600,000 (Direct Cost: ¥7,600,000)
Fiscal Year 1998: ¥1,300,000 (Direct Cost: ¥1,300,000)
Fiscal Year 1997: ¥1,600,000 (Direct Cost: ¥1,600,000)
Fiscal Year 1996: ¥4,700,000 (Direct Cost: ¥4,700,000)
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| Keywords | Biological Internal Dynamics / Non-linear Dynamics / Chaos / Reinforcement Learning / Multi Agents / Time series Prediction / Collective Behavior / Human Interface / 人間感覚・行動 / 実時間無標点人間計測 / 触覚・グラスピング / マンマシンインタラクション / カオス・非線形相互作用 |
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| Research Abstract |
The mechanism of human sense and behavior is a highly complicated nonlinear information processing system that is obtained by adapting to the complex environment. There are various complex phenomena. e.g.. a transition between various behavior patterns, a competitive recognition of multiple meaning, and, chaotic dynamics in biological systems, etc. In order to understand such human information processing, a research of human system, as a complex adaptation system, becomes very important. The fundamental goal of our research is to construct a measurement system of human cognitive behavior and to integrate various levels of human activity from biological level to behavioral and cognitive level, In this research, we mainly focused on the following three subjects as bases of such study :
1. Analysis of biological nonlinear dynamics.
2. Self-organized information processing.
3. Interactive measurement of human behavior.
1) The extraction and characterization methods of biological internal dynamics were investigated. Here we developed a concept of dynamic real-time characterization of biological dynamics and applied to the analysis of human blood flow dynamics. 2) The adaptive learning method for multi neural agents system was investigated. For the pulse neural network, we developed the method of spatio-temporal self-organized learning and applied to a binding of sensory information. 3) We constructed the interactive system between human and computer agent. Here we investigated how the behavior of agent influences human mental state and understanding of the agent.
Through these studies, we developed a basic framework to handle a non-explicit human information such as physiological or mental factor of human system.
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